{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Kenya Inclusive Growth and Fiscal Management DPO 2 ( P172321 ) * * PDO3 / Pillar 3 : Create Fiscal Space and Crowd in the Private Sector to Advance the Government \u2019 s Inclusive * * * * Growth Agenda * * DPO1 : PA7 & PA8 . DPO2 : PA5 , PA6 , & PA7 26 . Under DPO1 PA7 , value added tax ( VAT ) exemptions were rationalized through the passage by Parliament of the Finance Act 2018 , which contained a provision for the removal of VAT exemptions on petroleum products and through the adoption of a governance framework that limited the number of tax exemptions that were granted to arrest the decline in VAT tax revenues . Under DPO2 , PA5 an additional measure to reverse the decline in tax revenues was promoted by the Cabinet approving for submission to Parliament the Income tax bill 2019 that also limited the number of tax income exemptions . 27 . DPO1 PA8 addressed corruption issues by establishing procedures for the investigation of collusive behavior in public procurement bids . It also provided for the verification and reconciliation of external debt records in order to improve the accuracy of Kenya \u2019 s electronic debt registry . DPO2 PA6 increased the transparency of public procurement through publishing online , details of contracts and tenders , including tender documents . It also would publish details of companies that had been awarded tenders as well as the names of the directors of the companies . The Cabinet also approved under this PA new regulations that allowed for standard bidding documents to be revised in order to provide greater details on bidders . Parliament also enacted the Competition Amendment Act that included penalties for collusive behavior with respect to public procurement . DPO2 PA7 contained a provision for Cabinet approval of the Debt and Borrowing Policy that allowed for the Central Bank to launch the Treasury Mobile Direct System which provided for institutional and retail investors to participate through an electronic online platform in the issuance of government securities that would enhance the transparency", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:000459:18:0:0", "surface": "external debt records", "start": 1072, "end": 1093, "luna": 0, "luna_split": false, "head_score": 0.1728491187095642, "extractor_score": 0.9405591487884521, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:000459:18:0:1", "surface": "electronic debt registry", "start": 1140, "end": 1164, "luna": 0, "luna_split": false, "head_score": 0.1652848869562149, "extractor_score": 0.9256386756896973, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "agroclimatic conditions in characterizing the region . Second , most of the research available on fragility in the Sahel has been qualitative . This reflects data challenges found in Sub-Saharan Africa in general ( limited granularity in available variables , sample size and time coverage etc . ) , and others more specific to the region \u2013 including important variation in population densities . Water data itself has long been known to be imperfect and requires triangulation to overcome poor in-situ data . Nonetheless , the comparative advantage of an econometric approach to this analysis is its systematic and reproducible approach combined with a search for causal inference that can help disentangle concomitant factors and events . Third , an unprecedented mobilization of financial resources has been directed towards the region in recent years , prompted in large part by the 2012-13 Malian political crisis and the resulting militant Islamist occupation of the country \u2019 s northern territory . This crisis has led regional and global leaders to coordinate against the spread of political instability in the region and beyond . Over the next three years , the World Bank alone plans to support G5 Sahel countries with funding totaling US $ 7 billion . A substantial part of those resources can be expected to either directly or indirectly involve water resources . The evidence presented in this paper seeks to inform these future engagements , as well as additional post-COVID-19 recovery efforts , to prevent lock-in effects and unanticipated spillovers , with lessons that may apply well beyond the region . 4 . Data Sources This section presents an overview of the various data sources utilized in the empirical approach presented in section 5 . The first empirical approach , discussed in section 5 . 1 , builds on data compiled by Harari and Ferrara ( 2018 ) . HF utilizes gridded spatial data for the period 1997 to 2011 to present a plausibly causal effect of climate on conflict occurrence for the continent of Africa . Specifically , to measure the impacts of 3 See , for instance Eizenga ( 2019 ) and Guillaumont et al . ( 2016 ) . 4", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000019:7:1:0", "surface": "Water data", "start": 397, "end": 407, "luna": 0, "luna_split": false, "head_score": 0.6350070238113403, "extractor_score": 0.8272587656974792, "band": "keep"}, {"key": "prwp:000019:7:1:1", "surface": "gridded spatial data", "start": 1890, "end": 1910, "luna": 1, "luna_split": false, "head_score": 0.7831212878227234, "extractor_score": 0.8963049054145813, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "THE ROLE OF HOUSING SUPPORT AND EMPLOYMENT FACILITATION IN ECONOMIC VULNERABILITY OF REFUGEES FROM UKRAINE # # # * * Background * * Over two years have elapsed since the start of the full-scale war in Ukraine leading to a protracted displacement and a humanitarian crisis . The response by the refugee-hosting countries continues to be overall characterized by a spirit of welcomeness and generosity and much has been done to make ensure that those fleeing the war are able to meet basic needs and have access to accommodation , healthcare , education , social assistance , and employment . Despite these efforts , the situation remains a source of deep concern , necessitating a continued and coordinated humanitarian response at the regional level . As of the end of 2023 , 5 . 9 million refugees from Ukraine were recorded across Europe , close to 2 million of whom are in the countries covered by the < u > [ Regional Refugee Response Plan ( RRP ) ] ( https : / / data . unhcr . org / en / documents / details / 105903 ) < / u > < sup > 5 < / sup > [ ^ 5 : Belarus , Bulgaria , Czech Republic , Estonia , Hungary , Latvia , Lithuania , the Republic of Moldova , Poland , Romania , and Slovakia ] . To better understand their evolving situation , unpack risks and vulnerabilities and inform planning across sectors , Multi-Sectoral Needs Assessments ( MSNA ) were conducted under the RRP between June and September 2023 by UNHCR \u2019 s Regional Bureau for Europe and its Inter-Agency partners . This publication focuses on the results for livelihoods and socio-economic inclusion and attempts to draw conclusions based on survey data of 11 , 496 households ( and 26 , 857 individuals ) living in Bulgaria , the Czech Republic , Hungary , the Republic of Moldova , Poland , Romania , and Slovakia . # # # * * Socio-economic * * * * inclusion \u2013 key * * * * findings * * * * Refugee households demonstrate a high degree * * * * of economic vulnerability * * The MSNA survey data demonstrates that refugee", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000000:3:0:0", "surface": "survey data", "start": 1622, "end": 1633, "luna": 1, "luna_split": false, "head_score": 0.9008920788764954, "extractor_score": null, "band": "keep"}, {"key": "sample:jad_paddy_docs:000000:3:0:1", "surface": "MSNA survey data", "start": 1959, "end": 1975, "luna": 1, "luna_split": false, "head_score": 0.6777390241622925, "extractor_score": 0.9150887727737427, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Strengthening Lebanon \u2019 s Covid-19 Response ( P178587 ) * * C . * * * * Learning Agenda * * 14 . * * The project will support adaptive learning throughout implementation , as well as from international * * * * organizations including the WHO , International Monetary Fund ( IMF ) , Centers for Disease Control ( CDC ) , United * * * * Nations Children ' s Fund ( UNICEF ) , and others . * * It will adjust to emerging technical , social , and economic evidence , as applicable , and incorporate lessons learned from ongoing global vaccine rollout and COVID-19-related service delivery . In Lebanon , this learning agenda involves a continuation of on-going World Bank technical assistance ( TA ) , including : - * * Technical : * * Monitoring of vaccine deployment readiness assessments and technical support to regular updates of the NDVP - * * Social behaviors * * : The following data collection initiatives will be undertaken to improve knowledge and understanding of perceptions and attitudes towards vaccination as well as performance of the vaccination initiative * * : * * a . Facebook Surveys to assess beliefs and attitudes towards COVID-19 vaccination and identify causes of hesitancy b . Testing of communication messages to improve uptake of vaccines c . Iterative Beneficiary Monitoring ( IBM ) : an iterative feedback loop that collects information directly from beneficiaries and identifies challenges at the local level d . Third-party monitoring of vaccine deployment : Performance score cards to monitor performance by vaccination sites and identify challenges in vaccination deployment - * * Digital vaccination registry : * * An innovative approach for data transparency based on the digitalization of vaccination data has significantly enhanced public trust in the COVID-19 vaccination program . This approach utilizes the digital platform pioneered by the Inter-ministerial and Municipal Platform for Assessment Coordination and Tracking ( IMPACT ) , hosted by the oversight body Central Inspection Bureau ( CIB ) . * * < mark > II .", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000000:15:0:0", "surface": "Facebook Surveys", "start": 1108, "end": 1124, "luna": 0, "luna_split": false, "head_score": 0.5303500890731812, "extractor_score": 0.8912716507911682, "band": "confusion"}, {"key": "jdc_operational:000000:15:0:1", "surface": "Digital vaccination registry", "start": 1635, "end": 1663, "luna": 1, "luna_split": false, "head_score": 0.34428295493125916, "extractor_score": 0.583220362663269, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Building Resilient and Responsive Health Systems ( P179698 ) * * Monitoring & Evaluation Plan : PDO Indicators by PDO Outcomes * * | Outcome 1 : Improve utilization of quality primary health care services | Col2 | | - - - | - - - | | * * Percentage of women receiving postnatal care within 48 hours ( Percentage ) * * | * * Percentage of women receiving postnatal care within 48 hours ( Percentage ) * * | | Description < br > | Numerator : Number of women receiving postnatal care after delivery within 48 hours . < br > Denominator : Total number of expected live births during the reporting period < br > | | Frequency < br > | < br > Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine Health Management Information System ( HMIS ) data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Percentage of women receiving postnatal care within 48 hours in the 10 selected counties ( Percentage ) * * | * * Percentage of women receiving postnatal care within 48 hours in the 10 selected counties ( Percentage ) * * | | Description < br > | < br > Numerator : Number of women , in the 10 selected counties , receiving postnatal care after delivery within 48 hours . < br > Denominator : Total number of expected live births , in the 10 selected counties , during the reporting period < br > | | Frequency < br > | Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br >", "n": 3, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000000:35:0:0", "surface": "KHIS", "start": 710, "end": 714, "luna": 0, "luna_split": false, "head_score": 0.44092488288879395, "extractor_score": 0.9499377608299255, "band": "confusion"}, {"key": "sample:refugee_pads:000000:35:0:1", "surface": "KHIS", "start": 1480, "end": 1484, "luna": 0, "luna_split": false, "head_score": 0.6048600673675537, "extractor_score": 0.7476793527603149, "band": "keep"}, {"key": "sample:refugee_pads:000000:35:0:2", "surface": "Routine HMIS data collection", "start": 1537, "end": 1565, "luna": 0, "luna_split": false, "head_score": 0.08654383569955826, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "of fnance is undeniable . As we navigate this digital < br > fnancial frontier , embracing the potential of cryptocurrencies can < br > be the key to unlocking a new era of fnancial independence and < br > security . < br > * * Unlocking Opportunities : Leveraging * * < br > * * Social Media for Financial Aid in the * * < br > * * Business World * * < br > Posted onSeptember 10 , 2023 byNapier Shantel < br > [ image ] < br > In today \u2019 s digital age , social media has become more than just a < br > platform for sharing personal experiences and connecting with < br > friends ; it has evolved into a powerful tool for businesses to access < br > fnancial aid resources and opportunities . In this article , we will < br > delve into the world of social media views like TikTok views ( get < br > TikTok views from Famoid . com ) , exploring how these platforms < br > can provide vital fnancial aid to entrepreneurs and small < br > businesses in fnance . < br > * * The Power of Social Media * * < br > Social media , in its essence , refers to a collection of online < br > platforms and websites that allow users to create , share , and < br > interact with content . These platforms have transcended their initial < br > purpose of connecting people and have now become hubs for < br > various activities , including networking , marketing , and even < br > fnancial aid acquisition . < br > * * Connecting with Opportunities * * < br > One of the primary ways social media aids businesses in < br > accessing fnancial aid is by facilitating connections with various < br > opportunities . Whether you are an aspiring entrepreneur seeking < br > startup funding or a small business owner looking for ways to", "n": 1, "band": "confusion", "mentions": [{"key": "reliefweb:000022:0:81:0", "surface": "TikTok views", "start": 775, "end": 787, "luna": 0, "luna_split": false, "head_score": 0.36318182945251465, "extractor_score": 0.6151277422904968, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "2 . 2 . Provision of technical assistance and capacity building services to MoE , Teachers Service Commission ( TSC ) , Kenya National Examinations Council ( KNEC ) , Kenya Institute of Curriculum Development ( KICD ) , and other relevant agencies to , _inter alia : _ ( a ) carry out a national survey on child development and pre-primary school quality assurance standards and tools ; ( b ) develop standard tools for appraisal for teachers in pre-school ; ( c ) assist evaluation and quality assurance of the CBC and CBA including adapting CBC for Special Needs Education ( SNE ) and digitizing CBC for selected grades ; ( d ) assist teachers in primary schools to access and utilize the online portal for formative learning assessments ; ( e ) develop implementation guidelines for school meals and nutrition policy ; ( f ) monitor the School-Based Teacher Support ( SBTS ) initiative ; ( g ) support activities for out of school children ; ( h ) support the capacity of Kenya National Examinations Council ( KNEC ) to conduct and disseminate a National Assessment System for Monitoring Learner Achievement ( NASMLA ) for grade 3 learners ; ( i ) analyze TP AD data in target schools for lessons coverage ; G ) conduct assessments to measure teacher proficiency ; ( k ) provide scholarship and mentorship services , and refugee education services ; ( 1 ) digitize curriculum for all grades , including SNE ; ( m ) develop a costed ten-year operational plan for teacher workforce projections by grades and learning areas , and ( n ) carry out teacher support and data management . 2 . 3 . Carrying out a program of activities designed to strengthen education system capacity , such program to include : ( a ) strengthening gender responsive planning and policy development for system wide impact , including through reviewing teacher recruitment , management , and development processes , and developing an action plan to address identified gender gaps / inequalities ; ( b ) training of county directors of education , KICD and KNEC , to integrate", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:000814:3:0:0", "surface": "national survey on child development", "start": 287, "end": 323, "luna": 0, "luna_split": false, "head_score": 0.4039577543735504, "extractor_score": 0.7608731389045715, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:000814:3:0:1", "surface": "TP AD data", "start": 1159, "end": 1169, "luna": 1, "luna_split": false, "head_score": 0.17254085838794708, "extractor_score": 0.9200488328933716, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "line . BPL households are APL energy and fixed charges if their consumption exceeds 50 kWh of consumption during a billing cycle . The IBT schedule seeks to provide a minimum amount of electricity at an affordable cost to low-income / low-consumption households . IBTs also enable a utility to achieve its revenue goals , by deriving a larger share of its revenue from high-income and high-consumption households . From the perspective of balancing affordability and revenue sufficiency goals , designing an efficient IBT schedule amounts to separating households into distinct groups based on their willingness and ability to pay for electricity and using observable household characteristics to optimally setting consumption blocks at an appropriate marginal price . IBTs are not unique to India and the estimation of residential electricity demand under IBT schedules has been studied extensively in developed country settings . Reiss and White ( 2001 ) use a representative sample of California households , and summarize how the structure of electricity demand varies across customers . < sup > 6 < / sup > The model is then used to analyze the effect of tariff changes on changes in consumption and the share total monthly expenditure a household spends on electricity . McRae ( 2015 ) is one of the few papers that conducts a similar exercise in a developing country setting , < sup > 7 < / sup > by building an asset ownership model using Colombian census data and pairing it with a utility \u2019 s administrative billing data , to show that government subsidies for electricity programs disincentivizes greater investments in electricity infrastructure and ensnares poorer households in a low-level subsidy trap . McRae ( 2015 ) uses the demand estimation under non-linear pricing econometric modeling framework developed by Hanemann ( 1984 ) < sup > 8 < / sup > to recover the parameters of household-level preference functions . More recently , Wolak ( 2016 ) applies an enriched version of this modeling framework to water utility customers in California and uses it to find price schedules that \u2018 \u2019 optimally", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000020:7:0:0", "surface": "representative sample of California households", "start": 963, "end": 1009, "luna": 1, "luna_split": false, "head_score": 0.8494197726249695, "extractor_score": 0.8743911385536194, "band": "keep"}, {"key": "prwp:000020:7:0:1", "surface": "Colombian census data", "start": 1447, "end": 1468, "luna": 1, "luna_split": false, "head_score": 0.9149041771888733, "extractor_score": 0.9039949178695679, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "for host country poverty ] ( https : / / ec . europa . eu / eurostat / web / microdata / european-union-statistics-on-income-and-living-conditions ) < / u > assessments 3 . Results for the Czech Republic not individually presented due to sampling limitations 4 . The host country poverty rate was based on < u > [ OECD indicators for ] ( https : / / stats . oecd . org / ) < / u > < u > [ 2021 that were indexed towards 2023 using consumer price index ] ( https : / / stats . oecd . org / ) < / u > ( CPI ) data Refugee households also report having to engage in harmful coping strategies to meet basic needs . Some 8 % and 15 % had to resort to emergency 5 Belarus , Bulgaria , Czech Republic , Estonia , Hungary , Latvia , Lithuania , the Republic of Moldova , Poland , Romania , and Slovakia 6 Defined as the total after-tax income of the household ( including wages , transfers , social protection benefits , etc . ) divided by the square root of the household size 7 Based on < u > [ OECD data from 2021 , which was indexed by the CPI for 2022 and 2023 for each respective country ] ( https : / / stats . oecd . org / ) < / u > * * 4 * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000000:3:2:0", "surface": "OECD indicators", "start": 314, "end": 329, "luna": 1, "luna_split": false, "head_score": 0.8097282648086548, "extractor_score": 0.747374415397644, "band": "keep"}, {"key": "sample:jad_paddy_docs:000000:3:2:1", "surface": "OECD data from 2021", "start": 989, "end": 1008, "luna": 1, "luna_split": false, "head_score": 0.8080780506134033, "extractor_score": 0.8551264405250549, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Strengthening Lebanon \u2019 s Covid-19 Response ( P178587 ) 79 * * . The World Bank will support various efforts to actively engage with citizens to collect feedback on the NDVP and * * * * project performance , through social media surveys , the TPM mechanism , and through the use of Iterative * * * * Beneficiary Monitoring ( IBM ) . * * In February 2021 , the World Bank team administered a Facebook survey to assess beliefs and attitudes towards COVID-19 vaccination . Responses from more than 15 , 000 participants showed that only 28 percent of them intended to take the vaccine when it becomes available , and 48 percent were still unsure at the time of the survey . Moreover , as part of the TPM mechanism , feedback from vaccine recipients and health providers was collected and shared regularly with the MoPH , the National Vaccination Committee , and the Vaccine Executive Committee for corrective action as needed . Additionally , performance score cards were produced and shared with vaccination sites to monitor performance and identify challenges . An IBM approach is also being planned as an iterative feedback loop that collects information directly from beneficiaries and identifies challenges at the local level that can be addressed by project teams . In addition to improving project efficiency , this approach increases beneficiary engagement and satisfaction by creating positive , self-reinforcing cycles of improvement . Findings will be used to improve the communication campaign and citizen engagement . Through the IBM as well as social media surveys , engagement with community , especially in remote areas , will ensure the inclusion of their ongoing feedback in the rollout and implementation of the COVID-19 vaccination campaign to strengthen targeting accuracy and increase uptake . To ensure citizen engagement , the project will : ( a ) target messages to areas where vulnerable groups , including refugees and IDPs , reside to inform them about safety measures and benefits ; ( b ) tailor messages to the elderly and those with medical risks including their target family members and health care", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000000:39:0:0", "surface": "social media surveys", "start": 239, "end": 259, "luna": 0, "luna_split": false, "head_score": 0.5390265583992004, "extractor_score": 0.7937798500061035, "band": "confusion"}, {"key": "jdc_operational:000000:39:0:1", "surface": "Facebook survey", "start": 414, "end": 429, "luna": 1, "luna_split": false, "head_score": 0.7779479622840881, "extractor_score": 0.9293678402900696, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "| Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Percentage of host community women receiving postnatal care within 48 hours in Garissa and Turkana ( Percentage ) * * | * * Percentage of host community women receiving postnatal care within 48 hours in Garissa and Turkana ( Percentage ) * * | | Description < br > | < br > Numerator : Number of host community women in Garissa and Turkana , receiving postnatal care after delivery within 48 < br > hours . Denominator : Total number of expected live births within the host commnunity of Garissa and Turkana , during < br > the reporting period < br > | | Frequency < br > | Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Percentage of refugee women receiving postnatal care within 48 hours in Garissa and Turkana ( Percentage ) * * | * * Percentage of refugee women receiving postnatal care within 48 hours in Garissa and Turkana ( Percentage ) * * | | Description < br > | Numerator : Number of refugee women in Garissa and Turkana , receiving postnatal care after delivery within 48 hours . < br > Denominator : Total number of expected live births within the refugee community in Garissa and Turkana , during the < br > reporting period < br > | | Frequency < br > | Every six months < br > | | Data source < br > | UNHCR reports | | Methodology for Data < br > Collection <", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000000:35:1:0", "surface": "KHIS", "start": 807, "end": 811, "luna": 1, "luna_split": false, "head_score": 0.6882773041725159, "extractor_score": 0.6551670432090759, "band": "keep"}, {"key": "refugee_pads:000000:35:1:1", "surface": "UNHCR reports", "start": 1565, "end": 1578, "luna": 1, "luna_split": false, "head_score": 0.6725485324859619, "extractor_score": 0.8750864863395691, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "weaving , embroidery and clothes-making . Scarce and poorly paid livelihood opportunities were often indicated as having prompted further migration . In FGDs both in Kabul and Mazar , returnees explained that several male youth , married and unmarried , in their community had decided to return to Pakistan soon after return because of extremely limited job opportunities . One male returnee in Kabul estimated that around 60 % of male youth had returned to Pakistan . Other FGD participants added that they had male relatives who were currently in Pakistan but \u201c were trying to go to Iran and even Europe \u201d . In parallel , the great majority of returnees stated that they were receiving regular remittances from relatives abroad , including males that had returned to Pakistan . This phenomenon is also captured in the returnee monitoring report of November 2017 . Due to lack of livelihood opportunities , 8 % of the sample 15", "n": 2, "band": "keep", "mentions": [{"key": "sample:reliefweb:000080:16:2:0", "surface": "FGDs", "start": 153, "end": 157, "luna": 1, "luna_split": false, "head_score": 0.7559171319007874, "extractor_score": 0.17084485292434692, "band": "keep"}, {"key": "sample:reliefweb:000080:16:2:1", "surface": "returnee monitoring report", "start": 820, "end": 846, "luna": 1, "luna_split": false, "head_score": 0.5786862969398499, "extractor_score": 0.929199755191803, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "2017 , < br > since which time the MoES has been updating the comprehensive Education Management < br > Information System ( EMIS ) . Enrollments have increased in the interim for reasons outside < br > the influence of the project . | Values updated as per the enrolment figures available on EMIS as of September 2024 . Values < br > exceed the end targets because the Results Framework ( RF ) is based on data from 2017 , < br > since which time the MoES has been updating the comprehensive Education Management < br > Information System ( EMIS ) . Enrollments have increased in the interim for reasons outside < br > the influence of the project . | | Gender parity index in 30 % < br > worst performing ( with < br > lowest GPI ) targeted districts < br > ( Percentage ) | 66 . 00 | Mar / 2017 | 64 . 00 | 14-Jun-2024 | 1 . 03 | 31-Jan-2025 | 80 . 00 | Mar / 2025 | | Gender parity index in 30 % < br > worst performing ( with < br > lowest GPI ) targeted districts < br > ( Percentage ) | Comments on < br > achieving targets | Comments on < br > achieving targets | Values updated as of December 2024 . | Values updated as of December 2024 . | Values updated as of December 2024 . | Values updated as of December 2024 . | Values updated as of December 2024 . | Values updated as of December 2024 . | * * 6 . 2 Intermediate Results Indicators by Components * * | Expansion of Lower Secondary Education | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 | Col8 | Col9 | | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | |", "n": 2, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:001117:3:2:0", "surface": "enrolment figures available on EMIS", "start": 262, "end": 297, "luna": 1, "luna_split": false, "head_score": 0.6946617960929871, "extractor_score": 0.9234368205070496, "band": "keep"}, {"key": "fcv_pads_east_africa:001117:3:2:1", "surface": "data from 2017", "start": 407, "end": 421, "luna": 0, "luna_split": false, "head_score": 0.620175302028656, "extractor_score": 0.9023339748382568, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "25 kW . The proposal however did not specify the level of the energy and fixed charges and left the determination of these prices to state level regulators . The paper uses the consumption categories proposed in MOP \u2019 s notification to construct the first counterfactual tariff schedule . To illustrate the welfare impacts of this tariff schedule , we assign energy charges from JVVNL \u2019 s 2016-17 tariff order to the consumption tiers in the notification . This illustration also uses the consumption tiers of the notification to assign fixed charges instead load categories varying by the sanctioned load . This is because the sanctioned load variable in JVVNL \u2019 s data set is either missing or noisily estimated , rendering it unusable for fixed cost imputations at the household level . Since the range of consumption in each tier of MOP \u2019 s notification is larger than the range in JVVNL \u2019 s tariff order ( for instance , the first tier of consumption in JVVNL \u2019 s tariff order ends at 50 units , whereas the first tier in MOP \u2019 s proposal ends 200 units ) for the same energy and fixed charge , one can expect this tariff design to result in higher consumer surpluses across all households but also lead to a revenue shortfall compared to the current tariff . To study the welfare impacts of this tariff schedule and all other counterfactual schedules thereafter , the following methodology is used . A short-run linear demand curve is calibrated for each household using estimates of electricity demand own-price elasticities in the range of - 0 . 1 to - 0 . 4 , which are consistent with the magnitudes estimated from our structural demand model . The calibrated household demand curve passes through the household consumption observed in household level billing data set and the corresponding marginal prices observed in JVVNL \u2019 s 2016-17 tariff order . Using this demand curve , consumer surplus at current tariff rates and under counterfactual tariffs can be calculated as the area under the short-run demand curve and above the step-wise marginal price curve , less the", "n": 2, "band": "keep", "mentions": [{"key": "sample:prwp:000020:16:1:0", "surface": "JVVNL \u2019 s data set", "start": 656, "end": 674, "luna": 1, "luna_split": false, "head_score": 0.9085510969161987, "extractor_score": 0.8686882257461548, "band": "keep"}, {"key": "sample:prwp:000020:16:1:1", "surface": "household level billing data set", "start": 1746, "end": 1778, "luna": 1, "luna_split": false, "head_score": 0.9200716614723206, "extractor_score": 0.9273402690887451, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "frames and information regarding population distribution by 18 With both adult males and females present 19 Also defined here for the 15 + age group * * 10 * * geographic area and accommodation type . The objective was to ensure a diverse sample representative of the population \u2019 s composition . A combination of different sampling methods was used , typically incorporating multiple stages and blending convenience sampling , cluster random sampling , and simple random sampling ( the latter being exclusive to Romania ) . For the regional analysis , population weights were applied based on the most up-to-date figures regarding the number of individual refugees recorded in each country . This ensured the analysis more accurately represented the broader refugee population across the region . Appropriate measures were implemented to ensure the protection of personal data and guarantee confidentiality in all data collection and processing activities . Consent was requested and recorded for all selected participants , providing clear information on the purpose , and expected use of the data . The poverty line for each country was defined as 50 % of the median < u > [ equivalized disposable income ] ( https : / / www . oecd . org / els / soc / OECD-Note-EquivalenceScales . pdf ) < / u > as reported by the < u > [ OECD ( new definition since ] ( https : / / stats . oecd . org / ) < / u > 2012 ) for 2021 . This figure was indexed towards 2023 using national consumer price indexes ( CPI ) . On the survey data side , only households that did not have any missing information on income ( respondents were asked to provide both sources and amounts ) were included in the calculation ( households that reported having no income also did not pass the filter ) . In addition , for households that reported total expenditure above total income , expenditure data was used instead , as it was deemed to be more reliable . Following the OECD methodology for equivalization , the resulting disposable income figure for each household was divided by the", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000000:9:1:0", "surface": "national consumer price indexes", "start": 1462, "end": 1493, "luna": 1, "luna_split": false, "head_score": 0.8001459836959839, "extractor_score": 0.8089708685874939, "band": "keep"}, {"key": "sample:jad_paddy_docs:000000:9:1:1", "surface": "expenditure data", "start": 1853, "end": 1869, "luna": 1, "luna_split": false, "head_score": 0.6499467492103577, "extractor_score": 0.8375425338745117, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "> 6 months < br > | MOPH < br > reports / site < br > visit reports < br > | Administrative data < br > | PMU and MOPH < br > | | Number of communication initiatives < br > supported by the project to address < br > vaccine hesitancy < br > | < br > This indicator will track the < br > number of communication < br > initiatives that are either < br > conducted or / and < br > substantially supported by < br > MOPH for the public to < br > address the issue of < br > vaccine hesitancy . < br > | 6 months < br > < br > | MOPH and < br > TPM reports < br > < br > | Administrative data < br > < br > | PMU / MOPH < br > < br > | | Percentage of vaccination sites visited by < br > the technical auditor in the last quarter | < br > This indicator will monitor < br > the percentage of project | 3 months < br > | MOPH and < br > TPM reports | TPM reports < br > | PMU and TPM < br > | Page 46 of 54", "n": 2, "band": "confusion", "mentions": [{"key": "sample:jdc_operational:000000:50:1:0", "surface": "Administrative data", "start": 77, "end": 96, "luna": 0, "luna_split": false, "head_score": 0.1862298995256424, "extractor_score": 0.8306109309196472, "band": "confusion"}, {"key": "sample:jdc_operational:000000:50:1:1", "surface": "Administrative data", "start": 569, "end": 588, "luna": 0, "luna_split": false, "head_score": 0.12032441049814224, "extractor_score": 0.739766538143158, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Building Resilient and Responsive Health Systems ( P179698 ) | Collection | Col2 | | - - - | - - - | | * * Percentage of children immunized with three doses of Pentavalent vaccine in the 10 selected counties ( Percentage ) * * < br > | * * Percentage of children immunized with three doses of Pentavalent vaccine in the 10 selected counties ( Percentage ) * * < br > | | Description < br > | Numerator : Number of children under 1 year who have received three doses of the Pentavalent vaccine in the 10 < br > selected counties . Denominator : Total number of surviving children under 1 year in the 10 selected counties . < br > | | Frequency < br > | Every six months < br > | | Data source | KHIS | | Methodology for Data < br > Collection | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Outcome 2 : To improve quality of primary health care services * * < br > | * * Outcome 2 : To improve quality of primary health care services * * < br > | | * * Percentage of pregnant women attending 4 or more ANC visits ( Percentage ) * * < br > | * * Percentage of pregnant women attending 4 or more ANC visits ( Percentage ) * * < br > | | Description < br > | Numerator : Number of women attending 4 or more ANC visits . < br > Denominator : Total number of expected live births during the reporting period . < br > | | Frequency < br > | Every six months < br > | | < br > Data source < br > | < br > KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection |", "n": 1, "band": "keep", "mentions": [{"key": "refugee_pads:000000:36:0:0", "surface": "KHIS", "start": 717, "end": 721, "luna": 0, "luna_split": true, "head_score": 0.5061678290367126, "extractor_score": 0.9242041110992432, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "< br > service | UNHCR < br > monitoring | Healthcare < br > reoriented towards < br > national insurance < br > scheme and < br > sustainable services < br > Education provision < br > will shift towards < br > government run < br > schools < br > Payable water < br > services will < br > be established < br > with sustainable < br > management < br > Cash-based modality < br > to substitute in - < br > kind assistance < br > established | | % of persons of < br > concern have < br > access to national < br > education systems | 2 % ( urban only ) | 30 % | 50 % | Government < br > education data | Government < br > education data | | % of school aged < br > children of concern < br > enrolled in primary < br > education | 65 % | 75 % | 95 % | School records , < br > REMIS | School records , < br > REMIS | | % of secondary < br > school aged < br > young people of < br > concern enrolled < br > in secondary < br > education | 3 . 5 % | 10 % | 30 % | School records | School records | | Sustainable < br > county driven < br > water provision < br > system available < br > for refugees and < br > locals | No | Partially | Available | UNHCR < br > monitoring | UNHCR < br > monitoring | | Average # of litres < br > of water available < br > per person per day < br > ( free or for a fee ) | 18L | 30L | 50L | Partner < br > monitoring | Partner < br > monitoring | U N H C R / N O V E M B E R 2 0 1 8 63", "n": 3, "band": "confusion", "mentions": [{"key": "reliefweb:000088:62:1:0", "surface": "education data", "start": 589, "end": 603, "luna": 0, "luna_split": false, "head_score": 0.25938910245895386, "extractor_score": 0.7908123135566711, "band": "confusion"}, {"key": "reliefweb:000088:62:1:3", "surface": "REMIS", "start": 778, "end": 783, "luna": 1, "luna_split": false, "head_score": 0.6780648827552795, "extractor_score": 0.5592616200447083, "band": "keep"}, {"key": "reliefweb:000088:62:1:4", "surface": "School records", "start": 981, "end": 995, "luna": 1, "luna_split": false, "head_score": 0.6597640514373779, "extractor_score": 0.5993759036064148, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Implementation Status & Results Report Uganda Secondary Education Expansion Project ( P166570 ) | Enrolment at lower < br > secondary education for < br > refugees ( Number ) | Comments on < br > achieving targets | Col3 | Values updated as per the enrolment figures available on EMIS as of September 2024 . Values < br > exceed the end targets because the Results Framework ( RF ) is based on data from 2017 , < br > since which time the MoES has been updating the comprehensive Education Management < br > Information System ( EMIS ) . Enrollments have increased in the interim for reasons outside < br > the influence of the project . | Col5 | Col6 | Col7 | Col8 | Col9 | | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | | Enrolment at lower < br > secondary education for host < br > communities ( Number ) | 29 , 000 . 00 | Sep / 2017 | 106 , 907 . 00 | 14-Jun-2024 | 47 , 642 | 31-Jan-2025 | 39 , 100 . 00 | Jun / 2025 | | Enrolment at lower < br > secondary education for host < br > communities ( Number ) | Comments on < br > achieving targets | Comments on < br > achieving targets | Values updated as per the enrolment figures available on EMIS as of September 2024 . Values < br > exceed the end targets because the Results Framework ( RF ) is based on data from 2017 , < br > since which time the MoES has been updating the comprehensive Education Management < br > Information System ( EMIS ) . Enrollments have increased in the interim for reasons outside < br > the influence of the project . | Values updated as per the enrolment figures", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:001118:3:0:1", "surface": "data from 2017", "start": 417, "end": 431, "luna": 0, "luna_split": false, "head_score": 0.5629667043685913, "extractor_score": 0.7243760824203491, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "data leaves important considerations unaccounted for , such as reverse causality and the migration transition \u2019 s longitudinal dimension , as the transition takes place over an extended time period in a given origin country . Other studies have tested for a hump shape using panel data ( Mayda , 2010 ; Bertoli and Huertas-Moraga , 2013 ) . However , these papers use a limited number of country-time points , which restricts the empirical strength of their results . Other papers test the inverted-U relationship using solely migration flows to OECD destinations ( Lull , 2016 ; Ben\u010dek and Schneiderheinze , 2019 ) . These studies , however , exclude the possibility that migrants from low-income countries can also migrate to other low - or mediumincome countries . Since the average share of migration from all origins to non-OECD destinations is 50 % over the 1960-2017 period , < sup > 4 < / sup > [ ^ 4 : Computed using the World Bank \u2019 s Global Bilateral Migration ( \u00d6zden _et al . _ , 2011 ) and the United Nations \u2019 Trends in International ] we include such migration flows in order to incorporate all migration corridors in the analysis . The aim of this paper is to test for the inverted U-shape between emigration and development using a large panel database . We employ a comprehensive global panel data set with 180 origin and destination countries on a 50-year timeframe ( 1970-2020 ) . < sup > 5 < / sup > [ ^ 5 : Data on international migrant stocks in 2019 is used as a proxy for 2020 . ] This allows us to empirically test for bilateral migration dynamics not only across countries but also across time with a relatively large number of observations . Because of its large longitudinal dimension , it is well suited for testing the migration transition hypothesis \u2019 central prediction , which is a long-run phenomenon per origin country ( De Haas , 2010 ) . Our empirical specification is based on the random utility-maximization ( RUM ) model , which provides the microfoundations for a migration version of the gravity model . < sup > 6 < / sup > We employ a gravity-migration specification with a large number of", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000028:4:0:0", "surface": "panel data", "start": 275, "end": 285, "luna": 1, "luna_split": false, "head_score": 0.8253181576728821, "extractor_score": 0.7606195211410522, "band": "keep"}, {"key": "prwp:000028:4:0:2", "surface": "comprehensive global panel data set", "start": 1285, "end": 1320, "luna": 1, "luna_split": false, "head_score": 0.8388837575912476, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "< u > 11 , 530 < / u > * * * * < u > 27 , 302 < / u > * * * * < u > Jun-Sep < / u > * * Sample distribution by geographical strata , followed by random selection of districts , and < u > convenience sampling for household selection . < / u > Sample distribution by geographical strata , and simple random selection of households from cash < u > enrolment lists . < / u > Two strata ( collective sites vs . private accommodation ) ; random selection of districts and < u > convenience sampling for household selection . < / u > # # # * * Limitations * * The statistical significance of the MSNA results is limited by the non-probabilistic selection of respondents . Moreover , the use of convenience sampling likely led to a larger share of data being collected from more vulnerable households . There was also a notably high non-response rate regarding questions related to income and expenditure , which likely resulted in non-response bias . The income module of the MSNA was also materially different from the one employed by EU SILC , which may limit comparability of this data to that of host populations . It is also important to highlight that there were slight differences in the questionnaire across countries . Not all questions were consistently included in all country-level surveys , and some answer options were individually adjusted . To mitigate the impact of these differences , the regional analysis focused on data that could be matched . Certain indicators that may have been available by country have thus been excluded from this assessment . Lastly , the survey was conducted during the summer months , coinciding with both host country and Ukraine school holidays . This period often sees many households temporarily visiting Ukraine , which impacted the accessibility of households and posed challenges in meeting targets , particularly in certain countries and geographic locations . * * 11 * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000000:10:1:0", "surface": "enrolment lists", "start": 345, "end": 360, "luna": 1, "luna_split": false, "head_score": 0.7754762172698975, "extractor_score": 0.5792571306228638, "band": "keep"}, {"key": "sample:jad_paddy_docs:000000:10:1:1", "surface": "country-level surveys", "start": 1273, "end": 1294, "luna": 1, "luna_split": false, "head_score": 0.6319170594215393, "extractor_score": 0.553730309009552, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Uganda : Roads and Bridges in the Refugee Hosting Districts Project ( P171339 ) between settlements , the wider Ugandan market and cross border trade . Traders from South Sudan and DRC visit the settlements regularly to supply as well as source goods and services . This presents an opportunity for local economic development that can address market constraints . The provision of an all-weather road transport infrastructure will help ease the burden on the other sectors by enhancing connectivity of the host population and refugees to markets . The existing road infrastructure in West Nile Sub-Region is of poor quality and not motorable especially during rains . Access to health facilities and referral medical units is also encumbered by the dilapidated road network . 10 . * * Uganda was ranked 127 * * < sup > * * th * * < / sup > * * out of 162 countries in the 2018 Gender Inequality Index * * < sup > 9 < / sup > . * * Gender * * * * inequalities are prevalent in refugee camps in Uganda . * * Prevalence rates of gender-based violence ( GBV ) in Uganda are high . According to the Uganda Demographic and Health Survey ( UDHS ) < sup > 10 < / sup > , 56 percent of women have experienced spousal violence and 22 percent sexual violence . The figures for Violence Against Children ( VAC ) and are also high , with 59 percent of females and 68 percent of males reporting experiencing physical violence during childhood . < sup > 11 < / sup > Adolescent girls in Uganda are more likely to be poor , miss out on school and are at a greater risk of contracting HIV . < sup > 12 < / sup > Of Ugandans ages 13-17 years , one in four girls and one in ten boys reported sexual violence in 2015 . < sup > 13 < / sup > Nearly a quarter of teenage girls in Uganda become pregnant .", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000001:5:0:0", "surface": "2018 Gender Inequality Index", "start": 895, "end": 923, "luna": 1, "luna_split": false, "head_score": 0.8806708455085754, "extractor_score": 0.9028417468070984, "band": "keep"}, {"key": "sample:jdc_operational:000001:5:0:1", "surface": "Uganda Demographic and Health Survey", "start": 1117, "end": 1153, "luna": 1, "luna_split": false, "head_score": 0.9222977757453918, "extractor_score": 0.9389225244522095, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "4 or more ANC < br > visits . Denominator : Total number of expected live births during the reporting period within the host community of < br > Garissa and Turkana < br > | | Frequency < br > | Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Percentage of refugee pregnant women attending 4 or more ANC visits in Garissa and Turkana ( Percentage ) * * < br > | * * Percentage of refugee pregnant women attending 4 or more ANC visits in Garissa and Turkana ( Percentage ) * * < br > | | Description < br > | Numerator : Number of refugee pregnant women attending 4 or more ANC visits . < br > Denominator : Total number of expected live births during the reporting period within the refugee community of Garissa < br > and Turkana < br > | | Frequency | Every six months < br > | | Data source < br > | UNHCR reports | | Methodology for Data < br > Collection < br > | Routine UNHCR data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Proportion of Children Under 5 with diarrhea treated with Zinc / ORS Co-Pack ( Percentage ) * * | * * Proportion of Children Under 5 with diarrhea treated with Zinc / ORS Co-Pack ( Percentage ) * * | Feb 21 , 2024 Page 31 of 43", "n": 3, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000000:36:2:0", "surface": "KHIS", "start": 244, "end": 248, "luna": 0, "luna_split": false, "head_score": 0.20724713802337646, "extractor_score": 0.9337709546089172, "band": "confusion"}, {"key": "sample:refugee_pads:000000:36:2:1", "surface": "HMIS data collection", "start": 309, "end": 329, "luna": 0, "luna_split": false, "head_score": 0.08947473764419556, "extractor_score": null, "band": "confusion"}, {"key": "sample:refugee_pads:000000:36:2:2", "surface": "UNHCR reports", "start": 964, "end": 977, "luna": 0, "luna_split": false, "head_score": 0.7548815608024597, "extractor_score": 0.8789399266242981, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "gradually released by national statis - gradually released by national statis - tical offices , UNHCR expects further tical offices , UNHCR expects further improvements in data . improvements in data . This report only includes data This report only includes data on countries for which reliable offi - on countries for which reliable offi - cial statistics or estimates of stateless cial statistics or estimates of stateless populations were available . Despite populations were available . Despite the increased number of countries re - the increased number of countries re - porting and the enhanced reliability porting and the enhanced reliability of their figures , UNHCR was unable of their figures , UNHCR was unable to provide comprehensive statistics to provide comprehensive statistics on stateless persons in all countries . on stateless persons in all countries . Annex table 7 Annex table 7 ( 41 ) ( 41 ) includes some coun - includes some coun - tries ( marked with an asterisk ) for tries ( marked with an asterisk ) for which UNHCR has information which UNHCR has information about the existence of significant about the existence of significant stateless populations , but for which stateless populations , but for which no reliable figures were available . no reliable figures were available . The data on statelessness in The data on statelessness in 2012 2012 have shown a continuation of the have shown a continuation of the trend observed in previous years trend observed in previous years of expanding coverage and knowl - of expanding coverage and knowl - edge of stateless persons . By the end edge of stateless persons . By the end of of 2012 2012 , statistics on persons falling , statistics on persons falling under UNHCR \u2019 s statelessness man - under UNHCR \u2019 s statelessness man - date were available for date were available for 72 72 countries , countries , eight more than in eight more than in 2011 2011 [ see see Figure 12 Figure 12 ] . . This compared to This compared to 30 30 countries in countries in 2004 2004 , and reflected the efforts of , and reflected the efforts of UNHCR \u2019", "n": 1, "band": "keep", "mentions": [{"key": "reliefweb:000089:28:0:0", "surface": "data on statelessness", "start": 1316, "end": 1337, "luna": 1, "luna_split": false, "head_score": 0.6840943694114685, "extractor_score": 0.8103948831558228, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "host communities are located in fragile border areas across the country with limited services and economic potential . The World Bank , following consultation with the UNHCR , confirms that the protection framework for refugees continues to be adequate in Ethiopia . As per the latest UNHCR protection framework assessment , notable developments include signing of an MoU in September 2023 between RRS and the Ministry of Labor and Skills ( MoLS ) , enabling the latter to issue work permit for refugees to engage in employment in sectors permitted for foreign nationals . Further , building on earlier commitments , the Ethiopian Government made six additional pledges during the 2023 Global Refugee Forum in the areas of climate action , transforming refugee camps into settlements , inclusion of refugees in the national system , enhancing private sector engagement , expanding access to land , and improving digital connectivity and access to documentation . 7 Ethiopia CIARP Conflict Assessment . 8 Ibid . 9 World Bank , 2023 . Ethiopia Country Climate Development Report . 10 Government of Ethiopia , 2020 . Ethiopia 2030 : The Pathway to Prosperity . Ten Years Perspective Development Plan ( 2021 \u2013 2030 ) . 11 FDRE , 2021 . Updated Nationally Determined Contribution - July 2021 . 12 Ministry of Transport , 2020 . Ethiopia Non-Motorised Transport Strategy 2020-2029 . 13 UNHCR , 2023 . Ethiopia . Refugees and Internally Displaced Persons by Region , as of Dec 31 , 2023 . 14 UNHCR , 2023 . Ethiopia Urban Refugee Statistics , as of Dec , 2023 . 15 UNHCR , 2023 . Ethiopia . New Population Movement from Sudan , as of Dec 5 , 2023 . 16 World Bank , 2023 . Socio-Economic Survey of Refugees in Ethiopia ( SESRE ) . Mar 14 , 2024 Page 4 of 15", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:001332:3:2:0", "surface": "Ethiopia Urban Refugee Statistics", "start": 1500, "end": 1533, "luna": 1, "luna_split": false, "head_score": 0.4094780385494232, "extractor_score": 0.8674348592758179, "band": "confusion"}, {"key": "fcv_pads_east_africa:001332:3:2:1", "surface": "Socio-Economic Survey of Refugees in Ethiopia", "start": 1665, "end": 1710, "luna": 1, "luna_split": false, "head_score": 0.43167316913604736, "extractor_score": 0.9195046424865723, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "0 . 824 - 0 . 603 [ 0 . 707 ] [ 0 . 629 ] [ 0 . 688 ] [ 0 . 744 ] [ 0 . 667 ] [ 0 . 723 ] Observations 315 , 481 315 , 481 315 , 481 315 , 481 315 , 481 315 , 481 Worker Controls No Yes Yes No Yes Yes District Controls FEs No No Yes No No Yes SGRY Controls No No No Yes Yes Yes Source : Author \u2019 s analysis based on NSS 2004 \u2013 2008 ( Rounds 61 and 64 ) and program expenditure data for SGRY from 2004 to 2007 . Program expenditure data is from the Ministry of Rural Development , Government of India . Notes : All estimates are of the order 10 \u2212 2 . Each column presents results from a separate regression . All regressions include district and year-quarter \ufb01xed effects . All dependent variables are in logs . The sample is composed of all adults aged 18 to 60 interviewed from July 2004 to June 2005 and from July 2007 to June 2008 . The dependent variable in panel A is the percentage of days in the past seven days that an individual spends in public works . The dependent variable in panel B is the percentage of days in the past seven days that an individual spends in private works . All other controls are the same as in table 2 . All estimates are computed using sampling weights . The standard errors in square brackets are clustered at the district level . SGRY : Sampoorna Grameen Rozgar Yojana . NREGA : National Rural Employment Guarantee Act . \u2217 p < 0 . 10 , \u2217 \u2217 p < 0 . 05 , \u2217 \u2217 \u2217 p < 0 . 01", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000032:16:1:1", "surface": "program expenditure data for SGRY", "start": 357, "end": 390, "luna": 1, "luna_split": false, "head_score": 0.9280493259429932, "extractor_score": 0.780308187007904, "band": "keep"}, {"key": "prwp:000032:16:1:2", "surface": "Program expenditure data", "start": 411, "end": 435, "luna": 1, "luna_split": false, "head_score": 0.7169392704963684, "extractor_score": 0.6928997039794922, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland # # * * 1 . * * Ukrainian refugees in Poland # # # # # The large influx of refugees since February 2022 , added to a hefty and growing Ukrainian migrant population in Poland ( 1 . 1 ) . Refugees have changed the demographics of the local Ukrainian residents , with most of them being women and children and many households led by women alone ( 1 . 2 ) . In the past year , refugee household income sources have become more Poland-based ( 1 . 3 ) . # # # # * * 1 . 1 Influx since February 2022 * * Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 1 . Poland-Ukraine border movement balance and registered / active PESEL data * * * * Prior to the 2022 conflict in Ukraine , * * * * the population of Ukrainians in * * * * Poland was already significant and * * * * on the rise , but the exact number of * * * * migrants was challenging to quantify . * * Since the onset of the armed conflict in eastern Ukraine in 2014 , there was a consistent influx of Ukrainians into Poland . Many of them sought work as Ukraine \u2019 s economy declined and the currency devalued . Most of the migrants came as guest workers , a status brought in by a 2011 law enabling Ukrainians and five other nations to work in Poland for six months Source : Deloitte own elaboration based on Polish Border Guard Headquarter and PESEL data . PESEL-UKR data Total entries-exits of the Polish-Ukrainian border during a year without a work permit , based on an employer \u2019 s declaration . This was a circular migration , with Ukrainians coming to Poland for half of the year , then returning to Ukraine for another six months , and coming back to Poland . The data on employers \u2019 declarations do not reveal the actual number of Ukrainian citizens who followed this system \u2013 a", "n": 2, "band": "keep", "mentions": [{"key": "jad_paddy_docs:000001:3:0:0", "surface": "PESEL data", "start": 720, "end": 730, "luna": 1, "luna_split": false, "head_score": 0.8038057684898376, "extractor_score": 0.7855516672134399, "band": "keep"}, {"key": "jad_paddy_docs:000001:3:0:1", "surface": "PESEL-UKR data", "start": 1416, "end": 1430, "luna": 1, "luna_split": false, "head_score": 0.8626790046691895, "extractor_score": 0.84402996301651, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "inequalities persist . School enrollment and retention rates among girls in the refugees hosting districts are exceptionally low , a result of their domestic responsibilities , child marriage , teenage pregnancy , long distances to schools , and lack of sanitation 9 This index reflects gender-based inequalities in three dimensions \u2013 reproductive health , empowerment , and economic [ activity . http : / / hdr . undp . org / sites / all / themes / hdr_theme / country-notes / UGA . pdf . ] ( http : / / hdr . undp . org / sites / all / themes / hdr_theme / country-notes / UGA . pdf ) 10 Uganda Demographic and Health Survey ( 2016 ) . 11 Uganda Violence Against Children Survey ( 2015 ) . 12 UNICEF : Situation Analysis of Children in Uganda , 2015 13 Government of Uganda : Violence Against Children Survey ( VACS ) Report , 2018 14 UDHS , 2016 15 UNHCR , 2016 , 5-Year Interagency SGBV Strategy , Uganda _16_ < u > http : / / ug . one . un . org / sites / default / files / documents / UNAC - < / u > < u > [ Northern % 20Uganda % 20and % 20West % 20Nile % 20Humanitarian % 20and % 20Development % 20Report % 20-January - ] ( http : / / ug . one . un . org / sites / default / files / documents / UNAC-Northern % 20Uganda % 20and % 20West % 20Nile % 20Humanitarian % 20and % 20Development % 20Report % 20-January-February % 202018 . pdf ) < / u > < u > [ February % 202018 . pdf ] ( http : / / ug . one . un . org / sites / default / files / documents / UNAC-Northern % 20Uganda % 20and % 20West % 20N", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000001:5:2:0", "surface": "Uganda Demographic and Health Survey", "start": 590, "end": 626, "luna": 1, "luna_split": false, "head_score": 0.764600932598114, "extractor_score": 0.9416424036026001, "band": "keep"}, {"key": "jdc_operational:000001:5:2:1", "surface": "Uganda Violence Against Children Survey", "start": 641, "end": 680, "luna": 1, "luna_split": false, "head_score": 0.7936126589775085, "extractor_score": 0.9164888858795166, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Building Resilient and Responsive Health Systems ( P179698 ) | Description | Numerator : Total number of children receiving Zinc / ORS co-pack < br > Denominator : Total number of children under 5 years with diarrhea | | - - - | - - - | | Frequency < br > | < br > Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Proportion of Children Under 5 with diarrhea treated with Zinc / ORS Co-Pack in the 10 selected counties ( Percentage ) * * | * * Proportion of Children Under 5 with diarrhea treated with Zinc / ORS Co-Pack in the 10 selected counties ( Percentage ) * * | | Description < br > | Numerator : Total number of children receiving Zinc / ORS co-pack in the 10 selected counties . < br > Denominator : Total number of children under 5 years with diarrhea in the 10 selected counties . < br > | | Frequency < br > | Every six months < br > | | Data source < br > | KHIS | | Methodology for Data < br > Collection < br > | Routine HMIS data collection | | Responsibility for Data < br > Collection < br > | MoH < br > | | * * Outcome 3 : To strengthen institutional capacity for service delivery * * < br > | * * Outcome 3 : To strengthen institutional capacity for service delivery * * < br > | | < br > * * Order fill rate for priority health products and technologies ( HPTs ) ( Percentage ) * * < br > < br > | < br > * * Order fill", "n": 1, "band": "confusion", "mentions": [{"key": "refugee_pads:000000:37:0:0", "surface": "KHIS", "start": 337, "end": 341, "luna": 1, "luna_split": false, "head_score": 0.3823431134223938, "extractor_score": 0.9463050365447998, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "_This chapter is a living document and will be updated in response to the evolving context . _ harmonized across platforms to reduce confusion , combat rumours , misinformation , and uphold informed decision-making . Community engagement and communication with affected populations activities aim to invest in a successful , sustainable and permanent return . Support for community initiatives for return will also be assessed and supported , wherever possible within the unified framework and in line with international principles . * * 3 . Return counselling and processing * * represent the core operational step in facilitating repatriation in an expediting manner . Before returning , displaced Syrians are contacted to undergo detailed , family-level counselling sessions . These sessions verify the family composition , assess vulnerabilities , and examine access to key documentation such as civil records and academic transcripts . Families are then referred for specialized support , such as legal assistance and educational documentation and school registration procedures . The Education sector will advocate for expedited access to academic transcripts - particularly for higher-grade students \u2014 and certification for out-of-school children in formal education . Coordination with the Whole of Syria ( WoS ) Education Sector and MEHE will support returning children \u2019 s access to Lebanese academic certificates and ensure continuity of learning . Efforts will also focus on addressing administrative and academic barriers to facilitate reintegration into the Syrian education system . In collaboration with WoS partners , children will be referred to available programs , including remedial and Arabic language support . Community awareness will be raised on school enrolment procedures in Syria through targeted outreach and communication channels . Those cleared for return attend in-person appointments at one of six designated Return Centres , located in Beirut , Mount Lebanon , Zahle , Baalbek , Minieh and Akkar . At these centers , each adult family member is interviewed separately to ensure the decision to return is informed and an individual choice . While cross border disease surveillance and coordination between the Health sector in Lebanon and Syria Health cluster continue , families receive pre-departure health screening , including vaccinations for children and nutrition", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000094:4:0:0", "surface": "civil records", "start": 900, "end": 913, "luna": 0, "luna_split": false, "head_score": 0.21096724271774292, "extractor_score": 0.8390329480171204, "band": "confusion"}, {"key": "reliefweb:000094:4:0:2", "surface": "academic transcripts", "start": 1145, "end": 1165, "luna": 0, "luna_split": false, "head_score": 0.2088012397289276, "extractor_score": 0.2063634693622589, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "Household Survey 2016-2017 . < br > Total grid connections by both Umeme and UEDCL confirmed as 166 , 783 ( i . e . , 155 , 088 + < br > 11 , 695 ) | Average household size of 4 . 7 people , UBOS National Household Survey 2016-2017 . < br > Total grid connections by both Umeme and UEDCL confirmed as 166 , 783 ( i . e . , 155 , 088 + < br > 11 , 695 ) | | | 0 . 00 | Jan / 2022 | 399 , 778 | 10-Dec-2025 | 399 , 779 | 16-Mar-2026 | 2 , 525 , 000 . 00 | Jun / 2027 | Mar 17 , 2026 Page 3 of 16", "n": 2, "band": "keep", "mentions": [{"key": "sample:fcv_pads_east_africa:001374:2:5:0", "surface": "Household Survey", "start": 0, "end": 16, "luna": 1, "luna_split": false, "head_score": 0.5129523873329163, "extractor_score": null, "band": "keep"}, {"key": "sample:fcv_pads_east_africa:001374:2:5:1", "surface": "UBOS National Household Survey", "start": 191, "end": 221, "luna": 1, "luna_split": false, "head_score": 0.9129289388656616, "extractor_score": 0.8465576767921448, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "2014 censuses that would , without addressing them , make it impossible to estimate employment growth in Ghana over this period ( Kerr and McDougall , 2019 ) . The main issues we identified are differences in coverage of rural and urban areas , differences in the enumeration of associations and differences in coverage of the smallest firms . In Kerr and McDougall ( 2019 ) we showed that the 2014 IBES enumerated a total number of own account workers that was around 5 % of own account workers enumerated in the 2010 population census . The number is \u201c only \u201d 5 % because the smallest firms did not qualify for the firm census ( which excluded household \u2010 based firms unless there was a sign indicating the presence of a firm in the household dwelling ) . But this same percentage was only 0 . 5 % in the 2003 NIC . This means that the 2014 IBES covered a dramatically higher fraction of own account workers than 2003 . The fraction of small firms covered also increased ( Kerr and McDougall , 2019 ) . To ameliorate this issue , we limit our main analysis to firms with 5 or more persons engaged . Persons engaged includes working proprietors , employees , unpaid family workers and apprentices , as a large fraction of Ghanaians working in manufacturing are not employees in the sense that the word is used in developed countries . The 2014 census covered rural areas much better than the 2003 census ( Kerr and McDougall , 2019 ) . The 2003 NIC survey documentation notes that in rural areas only firms on the initial list of firms obtained prior to the census ( likely obtained from tax records or the 1987 census ) were enumerated , although enquiries were made of other firms in the vicinity . It is thus likely that rural areas would experience higher \u201c employment \u201d growth between 2003 and 2014 , simply because coverage of rural firms was better in 2014 . We ameliorate this issue in two ways . Firstly , we limit our analysis to firms with 5 or more persons engaged , as discussed above , since we think that the enumeration of larger firms", "n": 9, "band": "confusion", "mentions": [{"key": "sample:prwp:000048:9:0:0", "surface": "2014 censuses", "start": 0, "end": 13, "luna": 1, "luna_split": false, "head_score": 0.31917616724967957, "extractor_score": 0.6643944978713989, "band": "confusion"}, {"key": "sample:prwp:000048:9:0:1", "surface": "2014 IBES", "start": 394, "end": 403, "luna": 1, "luna_split": false, "head_score": 0.8012100458145142, "extractor_score": 0.7492780685424805, "band": "keep"}, {"key": "sample:prwp:000048:9:0:2", "surface": "2010 population census", "start": 514, "end": 536, "luna": 1, "luna_split": false, "head_score": 0.8756555914878845, "extractor_score": 0.8830622434616089, "band": "keep"}, {"key": "sample:prwp:000048:9:0:3", "surface": "firm census", "start": 617, "end": 628, "luna": 1, "luna_split": false, "head_score": 0.8619938492774963, "extractor_score": 0.30161216855049133, "band": "keep"}, {"key": "sample:prwp:000048:9:0:4", "surface": "2003 NIC", "start": 807, "end": 815, "luna": 1, "luna_split": false, "head_score": 0.8444734811782837, "extractor_score": 0.8474339246749878, "band": "keep"}, {"key": "sample:prwp:000048:9:0:5", "surface": "2014 IBES", "start": 838, "end": 847, "luna": 1, "luna_split": false, "head_score": 0.8095438480377197, "extractor_score": 0.479515016078949, "band": "keep"}, {"key": "sample:prwp:000048:9:0:6", "surface": "2003 NIC survey", "start": 1441, "end": 1456, "luna": 1, "luna_split": false, "head_score": 0.8131258487701416, "extractor_score": 0.7788742184638977, "band": "keep"}, {"key": "sample:prwp:000048:9:0:7", "surface": "tax records", "start": 1589, "end": 1600, "luna": 1, "luna_split": false, "head_score": 0.8114311099052429, "extractor_score": 0.5487824082374573, "band": "keep"}, {"key": "sample:prwp:000048:9:0:8", "surface": "1987 census", "start": 1608, "end": 1619, "luna": 1, "luna_split": false, "head_score": 0.871535062789917, "extractor_score": 0.8329078555107117, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "circular migration , with Ukrainians coming to Poland for half of the year , then returning to Ukraine for another six months , and coming back to Poland . The data on employers \u2019 declarations do not reveal the actual number of Ukrainian citizens who followed this system \u2013 a single person could hold several declarations , because with every change of employer or promotion at the same employer they had to ask for a new declaration . What is more , with stays shorter than one year , those people fell outside the definitions of population used by Statistics Poland ( G\u0142\u00f3wny Urz\u0105d Statystyczny , GUS , Poland \u2019 s statistical office ) . The National Bank of Poland estimated that between 2014 and 2018 , there were approximately one to two million Ukrainian workers in Poland at a time ( Strzelecki , Growiec and Wyszy\u0144ski , 2022 ) . According to the 2021 Polish National Census , one year before the outbreak of the full-scale war in Ukraine there were about one million Ukrainian citizens residing in Poland , almost all of them on a temporary basis . After the full-scale Russian invasion of Ukraine , Poland experienced a massive influx of refugees \u2013 with more than 27 million border crossings from Ukraine and more than 1 . 9 million applications for protection submitted by April 7 , 2025 < sup > 1 < / sup > . Not all of those people stayed in Poland . Many of them later returned to Ukraine or moved to other countries . By February 14 , 2025 , PESEL UKR < sup > 2 < / sup > [ ^ 2 : PESEL UKR is a version of Polish national ID number for Ukrainian citizens in connection with the armed conflict in the territory of that country . ] holders who remained in Poland stood at less than 1 million , while the border movement balance between Poland and Ukraine was slightly below 2 million . 1 UNHCR data , < u > https : / / data2 . unhcr . org / en / situations / ukraine < / u > 2 PESEL UKR is a version of Polish national ID number for Ukrainian citizens in connection with the armed conflict in", "n": 3, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:3:1:0", "surface": "data on employers \u2019 declarations", "start": 160, "end": 192, "luna": 1, "luna_split": false, "head_score": 0.7358635663986206, "extractor_score": 0.9214276075363159, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:3:1:1", "surface": "2021 Polish National Census", "start": 852, "end": 879, "luna": 1, "luna_split": false, "head_score": 0.9508237242698669, "extractor_score": 0.9215129613876343, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:3:1:2", "surface": "UNHCR data", "start": 1798, "end": 1808, "luna": 1, "luna_split": false, "head_score": 0.7909563779830933, "extractor_score": 0.8981559872627258, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "the NRs and the respective district , municipal and local authorities manage the secondary network . 15 . * * Only 3 . 3 percent of the road network is paved ; 52 percent are gravel roads and another about 45 * * * * percent are earthen roads , which do not provide all-weather connectivity and are difficult to maintain . * * Only about 100-400 km of gravel NRs are being upgraded every year to paved roads . Some of the river crossings on NRs do not have bridges and traffic movement on these highways is dependent on the ferry crossings , which operate for only few hours in a day . 16 . * * The road network is prone to disruption by floods , is not resilient , and has only few redundancies * * < sup > * * 26 * * < / sup > [ ^ 26 : Redundancies are alternate routes ] * * but * * * * uncertainty about the future and limited resources make it difficult to plan robust mitigating measures . * * Uganda is exposed to a variety of natural hazards ( droughts , flooding , landslides , heat waves ) . Each year , floods impact nearly 50 , 000 people and over US $ 62 million in GDP . Uganda experiences both flash floods and slow-onset floods . Areas most prone to floods are the capital city , Kampala , and the northern and eastern areas of the country . 17 . * * According to UDHS , distance to health facilities in Uganda was reported as a serious problem to access * * * * health facilities and this is more acute in refugee-hosting districts in West Nile sub-region . * * Mortality rate is still an issue in Uganda . Fertility and mortality rates , from the 2016 UDHS , forecasted that 2 percent of women un Uganda would die from maternal causes at existing rates . Moreover , it is documented that health care services during pregnancy and childbirth and after delivery are important for the survival and well-being of both the mother and infant . This situation worsens when roads are", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000001:7:1:0", "surface": "UDHS", "start": 1280, "end": 1284, "luna": 1, "luna_split": false, "head_score": 0.8803048729896545, "extractor_score": 0.9112096428871155, "band": "keep"}, {"key": "sample:jdc_operational:000001:7:1:1", "surface": "2016 UDHS", "start": 1565, "end": 1574, "luna": 1, "luna_split": false, "head_score": 0.8952346444129944, "extractor_score": 0.9163031578063965, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "Description < br > | Total number of children immunized among the host community in Garissa and Turkana . < br > | | Frequency < br > | Every six months < br > | | Data source | KHIS | | Methodology for Data < br > Collection | Routine HMIS data collection | | < br > Responsibility for Data < br > Collection < br > | MoH < br > | | * * Number of children immunized among refugees in Garissa and Turkana ( Number ) * * < br > < br > | * * Number of children immunized among refugees in Garissa and Turkana ( Number ) * * < br > < br > | | Description < br > | Total number of children immunized among refugees in Garissa and Turkana . < br > | | Frequency < br > | Every six months < br > | | Data source | UNHCR reports | | < br > Methodology for Data < br > Collection < br > | < br > Routine UNHCR data collection | | Responsibility for Data < br > Collection | MoH | Feb 21 , 2024 Page 34 of 43", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000000:39:2:0", "surface": "KHIS", "start": 178, "end": 182, "luna": 0, "luna_split": false, "head_score": 0.15488746762275696, "extractor_score": 0.9265358448028564, "band": "confusion"}, {"key": "refugee_pads:000000:39:2:1", "surface": "HMIS data collection", "start": 236, "end": 256, "luna": 0, "luna_split": false, "head_score": 0.06943374872207642, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "Though the voluntary character of the return was emphasized by the authorities during the planning phase , the Protection cluster believed in the importance to follow the SOPs on return as a guide for the humanitarian when providing support to the authorities in the return process and in the importance of consulting the population to better ascertain the intentions and needs of the population . * * II . * * * * Methodology * * Based on the information received from FDMA on the denotification of the 50 tehsil , data within UNHCR database of registered IDPs were compared and 4549 were found as from Ali Sherzai tribe . The protection cluster established a representative sample capturing a significant portion of the displaced population from Central Kurrum from Ali Sherzai tribe . IVAP provided the phone numbers of the registered families and IOM conducted phone calls with the IDPs . 259 families were consulted and the RIS was conducted by 7 enumerators who contacted displaced families from a call centre using the contact information available through the IVAP records . This RIS was conducted using a specific tool / questionnaire developed in 2012 for previous consultations and slightly adapted in 2013 . < sup > 1 < / sup > [ ^ 1 : See Annex1 ] The enumerators were trained on 23rd January by protection cluster coordinator on the tool as well as on basic principles of confidentiality , informed consent and interviewing techniques . The data collection was conducted from 29 . 1 . to 5 . 2 . In total , 259 interviews were conducted - 98 families currently residing in Hangu , 94 in Kohat , 42 in Peshawar , 17 in New Durrani , 4 in Nowshera , 3 in Charsadda , 1 in Tank . * * III . * * * * Main findings of the Return Intention Survey 2014 * * * * 1 ) * * * * Profile of the interviewed population * * Mostly heads of families were interviewed during the return intention survey ( 89 % ) , only in 28 cases other family members were interviewed , depending on", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000116:1:0:0", "surface": "UNHCR database of registered IDPs", "start": 528, "end": 561, "luna": 1, "luna_split": false, "head_score": 0.8782834410667419, "extractor_score": 0.9593226313591003, "band": "keep"}, {"key": "reliefweb:000116:1:0:1", "surface": "IVAP records", "start": 1068, "end": 1080, "luna": 1, "luna_split": false, "head_score": 0.9363329410552979, "extractor_score": 0.9211216568946838, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "Goods : is applicable for those contracts identified in the Procurement Plan tables ; Works : is applicable for those contracts identified in the Procurement Plan tables", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:001393:2:0:0", "surface": "Procurement Plan tables", "start": 60, "end": 83, "luna": 0, "luna_split": false, "head_score": 0.11006259173154831, "extractor_score": 0.405955046415329, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:001393:2:0:1", "surface": "Procurement Plan tables", "start": 146, "end": 169, "luna": 0, "luna_split": false, "head_score": 0.194452702999115, "extractor_score": 0.4442411959171295, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "been a surge in data from remote sensing and _in situ_ sensors ( which are discussed later in the paper ) , as well as concerns in Africa and small island states regarding the decline in the availability of traditional meteorological stations ( Dinku , 2019 ; Dobardzic et al . , 2019 ) . Weather data are commonly classified into four categories : ground station data , gridded data , satellite data , and reanalysis data . Data from ground stations offer direct observation of key weather variables , but their coverage is neither universal nor constant over time , with weather stations being relatively sparse in many low - and middle-income countries . Additionally , their coverage and trends are often related to the distribution of weather variables , posing estimation problems similar to those of selective attrition . Gridded data provide complete coverage at different resolutions by interpolating weather station data and assigning a value for weather 58", "n": 2, "band": "confusion", "mentions": [{"key": "prwp:000049:59:1:4", "surface": "reanalysis data", "start": 407, "end": 422, "luna": 0, "luna_split": false, "head_score": 0.35940489172935486, "extractor_score": 0.7818735837936401, "band": "confusion"}, {"key": "prwp:000049:59:1:5", "surface": "Gridded data", "start": 829, "end": 841, "luna": 1, "luna_split": false, "head_score": 0.7229917049407959, "extractor_score": 0.6615645885467529, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland * * The only reliable timeseries of the * * * * number of Ukrainians in Poland over * * * * the past decade is social insurance * * * * data on insured Ukrainian nationals , * * * * though it accounts only for workers . * * The focus on workers rather than on the entire group does not change much in the data from before February 2022 , as the previous influx consisted mainly of Ukrainians seeking employment in Poland . However , the actual number of employed Ukrainian nationals must have been higher . First , certain types of legal work often undertaken by temporary employees do not require Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 4 . Age and gender structure of Ukrainian refugees * * * * Most of the refugees from Ukraine * * * * currently living in Poland are women * * * * and children , though over half of * * * * the total population is of working * * * * age . * * The best population data available is the regularly updated active PESEL database . < sup > 4 < / sup > [ ^ 4 : Available in the repository maintained by the government < u > https : / / dane . gov . pl / pl / dataset / 2715 < / u > as well as UNHCR data portal < u > https : / / app . powerbi . com / < / u > < u > view ? r = eyJrIjoiODhkOGZiMzctZTliMi00NzA5LTgyM2QtZGZhM2IwZjBiZDk2IiwidCI6ImU1YzM3OTgxLTY2NjQtNDEzNC04YTBjLTY1NDNkMmFmODBiZSIsImMiOjh9 < / u > ] According to the registry , 61 . 5 % of the registered are women and 38 . 5 % are men . The database also includes the age of PESEL UKR holders , which indicates that over half ( 57 . 4 % ) , i . e . more than 560 thousand people , are of working age ( 18-65 ) . While the male and female shares of people below 18 years of age ( 20 % and 19 % , respectively ) and 66 + ( 1 %", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:4:0:0", "surface": "data on insured Ukrainian nationals", "start": 209, "end": 244, "luna": 1, "luna_split": false, "head_score": 0.6003063917160034, "extractor_score": 0.8970945477485657, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:4:0:1", "surface": "PESEL database", "start": 1063, "end": 1077, "luna": 1, "luna_split": false, "head_score": 0.8308671116828918, "extractor_score": 0.8823119401931763, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Support for Social Recovery Needs of Vulnerable Groups in Beirut ( P176622 ) and most recently , to 157 . 9 % in March 2021 . \u201d < sup > 5 < / sup > Importantly , inflation is a highly regressive tax , affecting the poor and vulnerable disproportionately , as well as people on fixed income , such as pensioners . < sup > 6 < / sup > 3 . * * Compounded by the global economic shock presented by COVID-19 , disruptions in international food * * * * supply chains and trade networks exacerbate Lebanon \u2019 s food security vulnerabilities . * * Lebanon ' s remittances dropped by 20 % , from 3 . 9 billion U . S . dollars in the first half of 2019 to 3 . 1 billion dollars in the first half of 2020 , according to Bank Byblos ' Lebanon This Week report released on Tuesday February 9 , 2021 . < sup > 7 < / sup > Furthermore , the restrictions on movement to combat the pandemic have hindered foodrelated logistic services , disrupting food supply chains and jeopardizing food security for millions of people . The higher levels of export restrictions particularly leave food-importing countries vulnerable to commodity price fluctuations . The World Bank \u2019 s Spring 2021 LEM found average food inflation to have grown by a record 254 percent over 2020 . < sup > 8 < / sup > Meanwhile , the World Food Program ( WFP ) reported that the Consumer Price Index ( CPI ) experienced annual inflation of 133 % between October 2019 and November 2020 , representing an all-time high since it began monthly price monitoring in 2007 . < sup > 9 < / sup > This is particularly relevant as Lebanon imports at least 80 % of its food supplies ( ESCWA 2016 ) . Real GDP growth is estimated to have contracted by 20 . 3 % in 2020 , on the back of a 6 . 7 % contraction in 2019 . 4 .", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000002:3:0:0", "surface": "Spring 2021 LEM", "start": 1177, "end": 1192, "luna": 1, "luna_split": false, "head_score": 0.8758162260055542, "extractor_score": 0.833705484867096, "band": "keep"}, {"key": "jdc_operational:000002:3:0:1", "surface": "Consumer Price Index", "start": 1353, "end": 1373, "luna": 1, "luna_split": false, "head_score": 0.8871366381645203, "extractor_score": 0.8532357811927795, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Uganda Climate Smart Agricultural Transformation Project ( P173296 ) procurement of machinery ; installation of irrigation systems for post control evaluation ; seed inspection , verification and certification ; and procurement and deployment of seed traceability systems . _Subcomponent 1 . 3 . Strengthening Agro-Climate Monitoring and Information Systems ( US $ 10 . 6 million - _ _IDA ) _ 20 . The subcomponent will finance the generation and timely transmission of accurate weather data and climate information thereby strengthening weather forecasting and its dissemination tools . Financing will be for : ( a ) acquisition and establishment of functional automated weather stations and related equipment in locations where gaps have been identified to improve agro-meteorological forecasting and monitoring ; ( b ) rehabilitation and upgrading of existing weather stations in project areas ; ( c ) acquisition and utilization of big data to develop a climate smart , agro-weather information system and advisories ; ( d ) establishing partnerships with local and international institutions to support the generation of climate information using global data sources such as satellites ; ( e ) upgrading and operationalizing the weather information dissemination system ; ( f ) building the technical capacity of MAAIF and extension staff for agro-meteorological observation and forecasting and real-time delivery of weather information and advisories to target farmers in project districts including RHDs and refugee settlements ; ( g ) development of agroclimatic and climate smart digital tools to facilitate access to early warning , agroclimatic , and pest and disease surveillance information ; ( h ) establishment of soil organic carbon monitoring reporting and verification of GHG removals including lab analysis for tracking application , adoption , and impact of TIMPs ; and ( i ) facilitating partnership with Uganda National Meteorological Authority ( UNMA ) to build capacity of MAAIF and local governments in agro-met data collection , management , analysis and dissemination ; and ( j ) enhancement of UNMA \u2019 s capacity in agro-met data collection , management , analysis and dissemination . _Sub", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000001:20:0:1", "surface": "big data", "start": 959, "end": 967, "luna": 0, "luna_split": false, "head_score": 0.13775862753391266, "extractor_score": 0.7815971374511719, "band": "confusion"}, {"key": "refugee_pads:000001:20:0:2", "surface": "agro-met data", "start": 2051, "end": 2064, "luna": 0, "luna_split": false, "head_score": 0.08705177158117294, "extractor_score": 0.7760701775550842, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "UNHCR , UNICEF and IOM October 2017 * * Endnotes : * * 1 . Data on arrivals is partial due to the large scale of irregular movements and reflects only sea arrivals for Greece and Italy . Data for Spain include both sea and land arrivals . 2 . Separated children are children separated from both parents , or from their previous legal or customary primary caregiver , but not necessarily from other relatives . These may , therefore , include children accompanied by other adult family members . Unaccompanied children are children who have been separated from both parents and other relatives and are not being cared for by an adult who , by law or custom , is responsible for doing so . ( IASC ) 3 . Arrival figures for Greece are collected in the framework of UNHCR border activities and are provided by Hellenic Coastguard and Hellenic Police . 4 . During the same period of time , a total of 2 , 557 referrals were made to the Greek National Centre for Social Solidarity ( EKKA ) based on children identified on islands and mainland Greece , including near the land border with Turkey . 5 . During the same period of time , 599 children applied for asylum in # # # # # Limitation of available data on Children and UASC : There is no comprehensive data on arrivals ( both adults and children ) in Europe , especially by land and air , as such movements are largely irregular and involve smuggling networks , which are difficult to track . If collected , data is rarely disaggregated by nationalities , risk category , gender or age . Reliable data on the number of UASC either arriving to , or currently residing in , different European countries is often unavailable . The number of asylum applications filed by UASC is used to provide an indication of trends but does not necessarily provide an accurate picture of the caseload due to backlogs in national asylum systems , onward irregular movements or not applying for asylum at all . In addition , due to different definitions and national procedures and practices , collecting accurate data on separated children specifically is", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000118:6:0:1", "surface": "Data for Spain", "start": 187, "end": 201, "luna": 1, "luna_split": false, "head_score": 0.5582240223884583, "extractor_score": 0.8769242167472839, "band": "keep"}, {"key": "reliefweb:000118:6:0:2", "surface": "Arrival figures for Greece", "start": 701, "end": 727, "luna": 0, "luna_split": false, "head_score": 0.6164746284484863, "extractor_score": 0.9276532530784607, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "to you ? [ scale 1-5 representing very unsatisfied to very satisfied , with a | Captures engagement with stakeholders and extent to which project is meeting stakeholder < br > demand . This is based on a survey administered to households in the project watersheds . < br > The survey instrument is comprised of small number of questions ( approx . 15-25 ) , which will < br > measure the extent to which the project reflected expectations and preferences of < br > beneficiaries in the project watersheds . < br > Srvey techniques will be used to document male and female beneficiary priorities at project < br > outset . Surveys during and at the close of the project may identify respondents \u2019 satisfaction < br > with project investments , including a specific question about the degree to which < br > respondents felt project activities reflected their preferences ( ex post ) . The survey will < br > include the following question : \u201c How satisfied are you that the project activities associated < br > with RLLP is useful to you ? [ scale 1-5 representing very unsatisfied to very satisfied , with a | Captures engagement with stakeholders and extent to which project is meeting stakeholder < br > demand . This is based on a survey administered to households in the project watersheds . < br > The survey instrument is comprised of small number of questions ( approx . 15-25 ) , which will < br > measure the extent to which the project reflected expectations and preferences of < br > beneficiaries in the project watersheds . < br > Srvey techniques will be used to document male and female beneficiary priorities at project < br > outset . Surveys during and at the close of the project may identify respondents \u2019 satisfaction < br > with project investments , including a specific question about the degree to which < br > respondents felt project activities reflected their preferences ( ex post ) . The survey will < br > include the following question : \u201c How satisfied are", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:001481:6:3:0", "surface": "survey administered to households in the project watersheds", "start": 204, "end": 263, "luna": 0, "luna_split": false, "head_score": 0.7328372001647949, "extractor_score": null, "band": "keep"}, {"key": "sample:fcv_pads_east_africa:001481:6:3:1", "surface": "survey administered to households in the project watersheds", "start": 1234, "end": 1293, "luna": 0, "luna_split": false, "head_score": 0.3891652524471283, "extractor_score": 0.44840824604034424, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "combines these indicators according to the bureau \u2019 s judgment of what factors are important ( using a decision rule not trained on data ) . Subscribers were matched to their financial histories based on an encrypted , anonymized identifier . The mobile phone data include metadata for each call and SMS , with identifiers for the other party , time stamps , tower locations , and durations . It does not include top-ups , balances , data access , charges , handset models used , or mobile money transactions ; thus performance is expected to improve with richer data . The data do not include any information on the content of any communication . We aim to predict default based on the information available at the time credit was granted , and so include only mobile phone transactions that precede the date of plan switching . Descriptive statistics for the sample are presented in Table 1 . Although 85 % of our sample has a file at the credit bureau , many of these files are thin : 59 % have at least one entity currently reporting an account , 31 % have at least two , and only 16 % have at least three . By construction , 100 % of the sample has a prepaid mobile phone account . The median individual places 26 calls per week , speaking 32 minutes , and sends 24 . 4 SMS . The data includes the median individual \u2019 s phone usage for 16 weeks ; an implementation that can obtain longer histories is likely to perform better . * * 3 . * * * * METHOD * * The goal is to predict the likelihood of repayment using behavioral features derived from mobile phone usage . We consider a sample of completed plan transitions , and consider whether information that was available at the time the credit was extended could have predicted its repayment . Because this sample of individuals did obtain credit , risk is reported among those who received credit based on the selection criteria at the time , which was relatively permissive and spanned the distribution of credit histories ( including no history at all ) . The credit data provide an indicator for whether", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000103:10:0:0", "surface": "mobile phone data", "start": 247, "end": 264, "luna": 1, "luna_split": false, "head_score": 0.7602304816246033, "extractor_score": 0.8840033411979675, "band": "keep"}, {"key": "prwp:000103:10:0:1", "surface": "credit data", "start": 2018, "end": 2029, "luna": 1, "luna_split": false, "head_score": 0.8283591270446777, "extractor_score": 0.8309450745582581, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "among productive-age individuals , with women 18-65 making up 40 % and men only 18 % of Ukrainian refugee population . This is largely due to the conscription of military aged men in Ukraine . 66 + 56-65 46-55 36-45 26-35 18-25 < 18 social insurance . Second , the statistical definition of an employed person is wider than just being registered with the Social Insurance Institution ( Zak\u0142ad Ubezpiecze\u0144 Spo\u0142ecznych , ZUS ) on a certain day < sup > 3 < / sup > [ ^ 3 : Employed person is a person , who during the reference week worked for at least 1 hour for pay or profit , including contributing family workers ; had a certain job attachment ; or produced agricultural goods for sale or barter . A definition according to the Labour Force Survey : < u > https : / / ec . europa . eu / eurostat / statistics-explained / < / u > < u > index . php ? title = Glossary : Employed_person_-_LFS < / u > ] . Third , some Ukrainians work in the shadow economy . The number of workers with Ukrainian citizenship and social insurance increased from only 33 thousand at the end of 2013 to 627 thousand at the end of 2021 \u2013 just before the refugee influx . Some of this increase reflects the transitioning of Ukrainians to more regular work arrangements and securing work permits . Following February 2022 , the numbers further increased with the arrival of Ukrainian refugees . The data for mid-2024 shows 771 thousand workers with Ukrainian citizenship registered for social insurance , including 247 thousand refugees . Ukrainian refugees in Poland have been given PESEL UKR numbers - a version of an ID number assigned to every Polish national \u2013 which made high quality data on their demographics easily available , though they may still be missing from most of the statistics compiled by the Polish statistical office . 20 % 19 % Men Women 1 % 1 % 2 % 3 % 4 % 7 % 8 % 4 % 4 % 9 % 12 % 7 % # # # # * * 1 . 2 Households characteristics * * * * The structure of the Ukrainian * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:4:1:0", "surface": "Labour Force Survey", "start": 730, "end": 749, "luna": 1, "luna_split": false, "head_score": 0.9111735224723816, "extractor_score": 0.8880323767662048, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:4:1:1", "surface": "data for mid-2024", "start": 1374, "end": 1391, "luna": 0, "luna_split": false, "head_score": 0.8084487915039062, "extractor_score": 0.7347778677940369, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": ", undermined trust in governmental institutions * * * * and increased existing pressures for emigration * * . Even before the explosion , the fallout of the economic crisis and the pandemic had led to a significant increase in poverty and a shrinking middle class . The Fall 2021 LEM estimated that poverty rates have surged from 28 % in 2019 to 55 . 3 % in 2020 . < sup > 14 < / sup > [ ^ 14 : Lebanon Economic Monitor , Fall 2020 . World Bank . ] As of Spring 2021 , projections using older data suggest that well over half of Lebanon \u2019 s population was under the 5 Lebanon Economic Monitor , Spring 2021 . World Bank . 6 Lebanon Economic Monitor , Fall 2020 . World Bank . 7 Bank Byblos ( February 2020 ) Lebanon This Week \u2018 Lebanon \u2019 s expats \u2019 remittances drop by 20 % in H1 of 2020 in Xinhuanet . 8 Lebanon Economic Monitor , Spring 2021 . World Bank . 9 World Food Program ( December 2020 ) Lebanon , VAM Update of Food Price and Market Trends . < u > [ https : / / reliefweb . int / sites / reliefweb . int / files / resources / WFP-0000122981 . pdf ] ( https : / / reliefweb . int / sites / reliefweb . int / files / resources / WFP-0000122981 . pdf ) < / u > 10 < u > [ https : / / www . unicef . org / lebanon / media / 5616 / file ] ( https : / / www . unicef . org / lebanon / media / 5616 / file ) < / u > 11 < u > [ https : / / reliefweb . int / report / lebanon / vasyr-2020-key-findings-2020-vulnerability-assessment-syrian-refugees-lebanon ] ( https : / / reliefweb . int / report / lebanon / vasyr-2020-key-findings-2020-vulnerability-assessment-sy", "n": 3, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000002:3:2:0", "surface": "Fall 2021 LEM", "start": 270, "end": 283, "luna": 1, "luna_split": false, "head_score": 0.8416250348091125, "extractor_score": 0.8607094883918762, "band": "keep"}, {"key": "sample:jdc_operational:000002:3:2:1", "surface": "Lebanon Economic Monitor", "start": 395, "end": 419, "luna": 1, "luna_split": false, "head_score": 0.8580591082572937, "extractor_score": 0.6169953942298889, "band": "keep"}, {"key": "sample:jdc_operational:000002:3:2:2", "surface": "older data", "start": 487, "end": 497, "luna": 1, "luna_split": false, "head_score": 0.6858512163162231, "extractor_score": 0.26458272337913513, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "> in the refugee beneficiaries \u2019 < br > communities | Bi-annually , < br > MTR , EOP < br > | Project MIS < br > | H / H survey - < br > beneficiaries < br > assessment < br > | NPCU < br > | | Host Community beneficiaries | This will assess the < br > increased hectare < br > developed for sustainable < br > land management practices < br > in the host communities | Bi-annually , < br > MTR , EOP < br > | Project MIS < br > | H / H survey - < br > beneficiaries < br > assessment < br > | NPCU < br > | | National beneficiaries | This will assess the < br > increased hectare | Bi-annually , < br > MTR , EOP | Project MIS < br > | HH surveys - < br > evaluations - | NPCU < br > | Page 46 of 81", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000001:51:1:0", "surface": "H / H survey", "start": 431, "end": 443, "luna": 0, "luna_split": false, "head_score": 0.24017484486103058, "extractor_score": 0.2559189200401306, "band": "confusion"}, {"key": "refugee_pads:000001:51:1:1", "surface": "HH surveys", "start": 637, "end": 647, "luna": 0, "luna_split": false, "head_score": 0.1739419400691986, "extractor_score": 0.8584854602813721, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "- Advocate for the acceptance of other forms of humanitarian ID to satisfy KYC / CDD requirements for lowest tier accounts , particularly those containing the beneficiary \u2019 s name , photograph , date of birth , and unique number and / or biometrics ; and - Convene MNOs and private entities to build momentum and generate buy-in for the acceptance of refugees \u2019 and asylum-seekers \u2019 identification documents for SIM registration and financial sector KYC / CDD requirements . * * Service Providers * * - Engage with regulators in partnership with UN agencies and humanitarian organizations to better understand the needs of all the stakeholders including persons of concern ; and - Provide clear guidance on accepted identity credentials for refugees , asylum-seekers , and other forcibly displaced person . # # * * South Sudan * * ITU Regulatory Tracker Overall Score ( 2020 ) : < sup > 138 < / sup > GSMA Mobile Money Regulatory Index ( 2021 ) : < sup > 139 < / sup > Party to the 1951 Refugee Convention # # # # # # * * YES * * Data Protection Privacy Legislation # # # # # # * * No * * 30 UNHCR > DISPLACED AND DISCONNECTED - EAST AFRICA REGION UNHCR > DISPLACED AND DISCONNECTED - EAST AFRICA REGION 31", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000137:15:0:0", "surface": "ITU Regulatory Tracker", "start": 831, "end": 853, "luna": 1, "luna_split": false, "head_score": 0.7407591938972473, "extractor_score": 0.823684811592102, "band": "keep"}, {"key": "reliefweb:000137:15:0:1", "surface": "GSMA Mobile Money Regulatory Index", "start": 901, "end": 935, "luna": 1, "luna_split": false, "head_score": 0.5434426069259644, "extractor_score": 0.8759117722511292, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "home-based learning programs , \" or IRI 1 . 1 , \u201c Percentage of children provided access to programs and sensitization campaigns that aim at minimizing the negative impacts of school closure like psychological impacts and gender-based violence . \u201d Nevertheless , these indicators were measured using a telephone survey implemented by the Bank , which was originally intended as a secondary source for validation of the REB data ( ICR , p . 32 ) . * * c . M & E Utilization * * The project M & E data were used for assessing progress on project activities and indicators , keeping project implementation on track , informing the two project restructurings and reallocations , and serving as a basis for implementation support missions . Additionally , the project-supported strengthening of supervision capacity at federal and REB levels contributed to utilization of the M & E system . Also , following the second restructuring , in order to improve REBs \u2019 familiarity with the M & E design , the Task Team presented the RF and M & E findings to REB officials at a workshop that aimed to support both procurement and environmental and social management ( ICR , pp . 32-33 ) . * * M & E Quality Rating * * Substantial * * 10 . Other Issues * * * * a . Safeguards * * The Environmental and Social ( E & S ) risk was rated Moderate throughout the project \u2019 s life . The activities financed by the project were not expected to cause irreversible environmental and social impacts , conversion of natural habitats , degradation of biodiversity , or loss of forest resources , as neither large-scale Page 17 of 21", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:001527:16:1:0", "surface": "telephone survey implemented by the Bank", "start": 302, "end": 342, "luna": 1, "luna_split": false, "head_score": 0.7022120356559753, "extractor_score": 0.9246608018875122, "band": "keep"}, {"key": "fcv_pads_east_africa:001527:16:1:2", "surface": "project M & E data", "start": 481, "end": 499, "luna": 0, "luna_split": false, "head_score": 0.47658538818359375, "extractor_score": 0.917509138584137, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "Lastly , the education policy literature reports the importance of community support in sustaining reform efforts . In particular , support from local stakeholders is a strong positive predictor of successful institutionalization of school reforms ( Bryk et al . 2010 ) . This paper considers each of these factors together rather than individually . As such , it contributes not only to the literature on sustainability of development projects but also offers operational lessons for project designers . We leverage rich panel data on playgroups in rural Indonesia to demonstrate how characteristics of the playgroups during the funded project period predict their sustainability several years after donor funding ends . This is an improvement from existing research on sustainability in health and education , which typically uses cross-sectional data ( Scheirer and Dearing 2011 ) . While the focus of this paper is on the sustainability of services established under an early childhood education project , the findings also provide lessons and insights for designing other types of community-based development projects . We present six key findings in this paper . First , we show that the vast majority ( 86 % ) of playgroups established under the project remained open three years after project funding ended . In particular , those that remained open balanced the reduction in donor funding by introducing student fees . Both our survey data and qualitative interview data show that the playgroups that closed were those that struggled to find the financial and human resources needed to continue operating . Second , we show that the playgroups that allocated a larger share of expenditure to teacher salaries during the project period were significantly more likely to remain in operation after the project ended . We find evidence that playgroups reallocated their resources towards teacher salaries by cutting down on supplementary services such as weekly food programs . Third , we find that the quality of the project playgroups \u2013 as measured by direct observation of the playgroup \u2013 is a key predictor of sustainability . We find that such observations capture elements of the quality of these playgroups that are predictive of sustainability , over and above what can be predicted", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000125:6:0:0", "surface": "panel data on playgroups in rural Indonesia", "start": 522, "end": 565, "luna": 1, "luna_split": false, "head_score": 0.8190242648124695, "extractor_score": 0.7639177441596985, "band": "keep"}, {"key": "prwp:000125:6:0:1", "surface": "cross-sectional data", "start": 833, "end": 853, "luna": 1, "luna_split": false, "head_score": 0.6267573237419128, "extractor_score": 0.7605488896369934, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "* * radically after February 24 , 2022 . * * Up until 2021 , Ukrainians in Poland were mostly men ( close to two-thirds ) , who came for work-related reasons , often leaving their families back in Ukraine . The onset of the full-scale conflict in Ukraine triggered the arrival of individuals displaced by the war . Those were primarily women and children , with men in Ukraine being mobilized for the war effort . Social insurance data does not reflect the full extent of the change , showing only workers , without children and adults outside of employment . * * Chart 3 . Number of Ukrainians registered in Poland for social insurance by sex * * 2021 Q4 2022 Q4 2023 Q4 2024 Q2 Number of insured men with Ukrainian citizenship Number of insured women with Ukrainian citizenship Number of insured with Ukrainian citizenship Source : Deloitte own elaboration based on ZUS data . 3 Employed person is a person , who during the reference week worked for at least 1 hour for pay or profit , including contributing family workers ; had a certain job attachment ; or produced agricultural goods for sale or barter . A definition according to the Labour Force Survey : < u > https : / / ec . europa . eu / eurostat / statistics-explained / < / u > < u > index . php ? title = Glossary : Employed_person_-_LFS < / u > 08 Source : Deloitte own elaboration based on the PESEL database as of September 2024 . 4 Available in the repository maintained by the government < u > https : / / dane . gov . pl / pl / dataset / 2715 < / u > as well as UNHCR data portal < u > https : / / app . powerbi . com / < / u > < u > view ? r = eyJrIjoiODhkOGZiMzctZTliMi00NzA5LTgyM2QtZGZh", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:4:2:0", "surface": "Social insurance data", "start": 414, "end": 435, "luna": 1, "luna_split": false, "head_score": 0.8033512234687805, "extractor_score": 0.8780078291893005, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:4:2:1", "surface": "ZUS data", "start": 868, "end": 876, "luna": 1, "luna_split": false, "head_score": 0.966045618057251, "extractor_score": 0.9032486081123352, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:4:2:2", "surface": "PESEL database", "start": 1361, "end": 1375, "luna": 1, "luna_split": false, "head_score": 0.9343999028205872, "extractor_score": 0.8942575454711914, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:4:2:3", "surface": "UNHCR data portal", "start": 1533, "end": 1550, "luna": 0, "luna_split": false, "head_score": 0.5454415678977966, "extractor_score": 0.4919504225254059, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Support for Social Recovery Needs of Vulnerable Groups in Beirut ( P176622 ) national poverty line . < sup > 15 < / sup > [ ^ 15 : Lebanon Economic Monitor , Spring 2021 . World Bank ] These developments increase pressures for emigration , especially among the middle class . Such deprivations have further degraded the relationship between people and the state . Grievances with the political system and dissatisfaction with the state \u2019 s mismanagement of the economy and its entrenched corruption resulted in nationwide protests in late 2019 . Since , intermittent social unrest highlights the needs for a new social contract between citizens and the government . In a survey conducted by the World Bank among victims of the blast , the overwhelming majority of respondents report having \u201c no trust at all \u201d in political parties , the Council for Development and Reconstruction , or municipalities . < sup > 16 < / sup > [ ^ 16 : Ranking on a 5-point scale , where 1 = \u201c no trust at all \u201d and 5 = \u201c complete trust . \u201d Average score was 1 . 2 for political parties , 1 . 5 for CDR , and 1 . 7 for municipalities . Survey not strictly representative due to its design . Source : http : / / documents1 . worldbank . org / curated / en / 899121600677984471 / pdf / Beirut-Residents-Perspectives-on-August-4-Blast-Findings-from-aNeeds-andPerception-Survey . pdf ] 6 . * * The formation of a new government of \u201c determination and hope \u201d in September 2021 , and the * * * * subsequent vote of parliamentary confidence this received , lays an important potential foundation for * * * * solving these challenges * * . However , even in a political best case scenario , the deep socio-economic impacts of the above crises upon the people of Lebanon will take considerable time and investment in public sector service delivery reform to address sustainably . As such , stop-gap measures to meet the immediate socio-economic needs of vulnerable groups remains important for both alleviating emergency hardship and setting the stage for longer-term recovery . Sectoral and Institutional Context 7 . * * The World Bank Group ( WBG )", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000002:4:0:0", "surface": "Lebanon Economic Monitor", "start": 154, "end": 178, "luna": 1, "luna_split": false, "head_score": 0.867832601070404, "extractor_score": 0.7590696811676025, "band": "keep"}, {"key": "jdc_operational:000002:4:0:1", "surface": "survey conducted by the World Bank", "start": 694, "end": 728, "luna": 1, "luna_split": false, "head_score": 0.9107093214988708, "extractor_score": 0.9560433030128479, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "HDs . z There is strong progress on : the commitment to integrate refugee services into national service delivery systems . As outlined in the National Development Plan III ( NDP III ) , refugee planning is integrated into national , sectoral and local government plans and data collection . The CRRF has developed sectoral plans for refugees and host communities and included both groups under the Uganda Intergovernmental Fiscal Transfer to support service provision through district development plans . Refugees and hosts have been included in the 2022 Uganda Demographic Health Survey . Although a refugee sample was not collected in the Uganda National Household Survey that was conducted in 2019 / 20 due to COVID-19 pressures , the Uganda Bureau of Statistics remains committed to include refugees in national data exercises . On the commitments to : ensure access for refugees and host population to quality , efficient and integrated basic social services ; and enhance social infrastructure in refugee hosting areas , strong progress is being made on health and education service provision . The second Education Response Plan for Refugees and Host Communities was endorsed in September 2022 . Under the Uganda intergovernmental Fiscal Transfer ( UgIFT ) program WHR , refugee children have been included in the education capitation grant for RHDs and 51 schools are being transferred from humanitarian partners into the national education system . The Uganda Secondary Education Expansion Project ( USEEP ) will strengthen infrastructure in 61 secondary schools in RHDs . According to the just concluded Health Sector Integrated Refugee Response Plan a mid-term review , under the UgIFT , 15 health centers are being transitioned from humanitarian partners into national systems and refugee populations have been included in the per capita recurrent cost allocations to RHDs . Two blood banks to service RHDs are also being constructed under UgIFT . Refugees were integrated into the National COVID-19 Health Prevention and Response Plan . The Uganda COVID 19 Response and Emergency Preparedness Project is supporting Page 79 of 81", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000001:84:1:0", "surface": "2022 Uganda Demographic Health Survey", "start": 551, "end": 588, "luna": 1, "luna_split": false, "head_score": 0.26081836223602295, "extractor_score": 0.9574412107467651, "band": "confusion"}, {"key": "refugee_pads:000001:84:1:1", "surface": "Uganda National Household Survey", "start": 642, "end": 674, "luna": 1, "luna_split": false, "head_score": 0.4243984818458557, "extractor_score": 0.956865131855011, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "ACRONYMS * * < u > DANE < / u > * * < u > National Administrative Department of Statistics , Colombia . Acronym in Spanish < / u > * * < u > DHS < / u > * * < u > Demographic and Health Survey < / u > * * < u > EGRIS < / u > * * < u > Expert Group on Refugee and IDP Statistics < / u > * * < u > EMIS < / u > * * < u > Education Management Information System < / u > * * < u > FDP < / u > * * < u > Forcibly displaced person < / u > * * < u > FDS < / u > * * < u > Forced displacement status < / u > * * < u > GEIH < / u > * * < u > Great Integrated Household Survey , Colombia . Acronym in Spanish < / u > * * < u > GCR < / u > * * < u > Global Compact on Refugees < / u > * * < u > HFS < / u > * * < u > High Frequency Survey < / u > * * < u > HMIS < / u > * * < u > Health Management Information System < / u > * * < u > IAEG-SDGs < / u > * * < u > Inter-agency Expert Group on SDG Indicators < / u > * * < u > ICLS < / u > * * < u > International Conference of Labour Statisticians < / u > * * < u > IDP < / u > * * < u > Internally displaced person < / u > * * < u > ILO < / u > * * < u > International Labour Organization < / u > * * < u > IOM < / u > * * < u > International Organization for Migration < /", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000141:3:0:1", "surface": "Great Integrated Household Survey", "start": 533, "end": 566, "luna": 0, "luna_split": false, "head_score": 0.370559960603714, "extractor_score": 0.7196320295333862, "band": "confusion"}, {"key": "reliefweb:000141:3:0:2", "surface": "High Frequency Survey", "start": 706, "end": 727, "luna": 0, "luna_split": false, "head_score": 0.0770321786403656, "extractor_score": 0.6394315361976624, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "rural areas is four people . | This indicator measures the cumulative number of households that have access to an < br > improved water source constructed through the program . The definition of a household as < br > applied in the 2022 Kenya Demographic and Health Survey ( KDHS ) applies . The KDHS < br > indicates that the mean household size in rural areas is four people . | This indicator measures the cumulative number of households that have access to an < br > improved water source constructed through the program . The definition of a household as < br > applied in the 2022 Kenya Demographic and Health Survey ( KDHS ) applies . The KDHS < br > indicates that the mean household size in rural areas is four people . | | | 0 | Dec / 2023 | 0 | 26-Sep-2024 | 0 | 18-Mar-2025 | 1 , 000 | Jun / 2030 | Apr 03 , 2025 Page 11 of 22", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:001637:10:4:0", "surface": "2022 Kenya Demographic and Health Survey", "start": 232, "end": 272, "luna": 1, "luna_split": false, "head_score": 0.8541777729988098, "extractor_score": 0.8209067583084106, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "average AL of 1 . 45 for boys and girls aged 8 to 9 in Mysore . # # # # # # * * 2 . 3 Imputation of TEE to NSS data * * As REE and AL cannot be directly estimated for the same data set using the factorial method , and the coverage in terms of age , state , and time period of the NFHS and TUS is incomplete , the estimates of TEE over time use NSS data that is representative at the population level . This is done using the large number of common variables between the NFHS , TUS , and NSS Schedule 10 Employment Survey ( hereafter NSS-E ) . Predictive equations for REE or AL are first estimated using the NFHS or TUS and the large set of individual and household variables in common with the NSS-E , and these \u02c6 \u02c6 \u02c6 predictive equations are then used to generate _TEEi_ = _REEi_ _ \u2217 _ _ALi_ for each individual in the NSS-E . The analysis here focuses on the \u201c thick \u201d NSSE survey rounds beginning with the oldest available ( 1983 ) through to the most recently available ( 2011-2012 ) . 7", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000131:8:1:1", "surface": "TUS", "start": 289, "end": 292, "luna": 1, "luna_split": false, "head_score": 0.8750774264335632, "extractor_score": 0.4927940368652344, "band": "keep"}, {"key": "prwp:000131:8:1:2", "surface": "NSS data", "start": 344, "end": 352, "luna": 1, "luna_split": false, "head_score": 0.6846269965171814, "extractor_score": 0.6108887791633606, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland * * Most Ukrainian refugee households * * * * are led by women alone . * * According to the 2024 Socio-Economic Inclusion Survey ( SEIS ) , 67 % of Ukrainian refugee households are led by women without adult partners . When changes are compared to the 2023 edition , the MultiSector Needs Assessment ( MSNA ) survey , 5 % of households include a person with disability , down from 10 % previous year , and 48 % include a chronically ill person , compared to 49 % in 2023 . Furthermore , average household size is 2 . 4 persons ( compared to 2 . 7 previous year ) , 57 % include children ( compared to 52 % ) , and 6 % include a pregnant or breastfeeding mother ( same as previously ; UNHCR , 2025a ) . Only 15 % of households are nuclear families with a working age man and woman with children . * * Chart 5 . Ukrainian refugee households \u2019 demographic composition * * * * with no * * * * children ( 43 % ) * * * * with one child * * * * or more ( 57 % ) * * with one child with two or more children Analysis of the impact of refugees from Ukraine on the economy of Poland * * Table 1 . 10 poviats with most Ukrainian refugees * * * * Chart 6 . Local population shares of Ukrainian refugees * * * * 1 . Warsaw * * 109 , 705 * * 2 . Wroclaw * * 53 , 901 * * 3 . Cracow * * 33 , 057 * * 4 . Poznan * * 23 , 991 * * 5 . Gdansk * * 17 , 829 * * 6 . Lodz * * 15 , 902 * * 7 . Szczecin * * 14 , 318 * * 8 . Poznanski * * 14 , 028 * * 9 . Pruszkowski * * 12 , 206 18-59 female and male 60 + female and male two", "n": 2, "band": "keep", "mentions": [{"key": "jad_paddy_docs:000001:5:0:0", "surface": "2024 Socio-Economic Inclusion Survey", "start": 165, "end": 201, "luna": 1, "luna_split": false, "head_score": 0.9601196646690369, "extractor_score": 0.9407066702842712, "band": "keep"}, {"key": "jad_paddy_docs:000001:5:0:1", "surface": "MultiSector Needs Assessment", "start": 344, "end": 372, "luna": 1, "luna_split": false, "head_score": 0.907101035118103, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Support for Social Recovery Needs of Vulnerable Groups in Beirut ( P176622 ) risks including child marriage , domestic violence and intimate partner violence , sexual exploitation and assault , as well as intimidation and fear of violence within their communities . < sup > 34 < / sup > Among Syrian refugees , the most reported forms of violence against women and girls include physical assault , domestic and sexual violence , emotional abuse , denial of resources , and forced and child marriage . * * Psycho-social wellbeing * * 16 . * * The amalgam of the different crises affecting Lebanon have had a dire effect on the psycho-social * * * * wellbeing of its population , where levels of stress , worry , and pain soared to record levels in 2019 , even * * * * before the shocks of the COVID-19 pandemic and the POB explosion . * * In 2019 , Gallup data showed that Lebanese adults have experienced the most emotional blow between 2018 and 2019 worldwide . Their Negative Experience Index rose 18 points , while their Positive Experience Index score dropped 12 points . < sup > 35 < / sup > The percentage of Lebanese who experienced sadness more than doubled , from 19 % to 40 % , and nearly twice as many were angry in 2019 ( 43 % ) compared to 2018 ( 23 % ) . A national representative survey in Lebanon conducted prior to the Syrian conflict showed that one in six people met criteria for at least one mental disorder , with 27 % of these classified as \u201c serious \u201d . < sup > 36 < / sup > Embrace , an NGO running a national suicide prevention hotline ( 1564 ) , reported its call volume to have tripled between 2019 and 2020 , with 18-to34-year-olds consistently accounting for more than half of this number but the share of other age brackets growing . < sup > 37 < / sup > The call volume continued to increase in the", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000002:7:0:0", "surface": "Gallup data", "start": 871, "end": 882, "luna": 1, "luna_split": false, "head_score": 0.9551213979721069, "extractor_score": 0.9319743514060974, "band": "keep"}, {"key": "sample:jdc_operational:000002:7:0:1", "surface": "national representative survey in Lebanon", "start": 1294, "end": 1335, "luna": 1, "luna_split": false, "head_score": 0.9157425165176392, "extractor_score": 0.9501726627349854, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Burundi - Jobs and Economic Transformation Project - PRETE ( P177688 ) * * Monitoring & Evaluation Plan : PDO Indicators by PDO Outcomes * * | Inclusive access to finance | Col2 | | - - - | - - - | | * * Beneficiaries reached with financial services ( Number ) CRI * * | * * Beneficiaries reached with financial services ( Number ) CRI * * | | Description < br > The indicator measures the number of persons who benefited from financial services in operations supported by the Bank < br > and the number of businesses that benefited from financial services . | Description < br > The indicator measures the number of persons who benefited from financial services in operations supported by the Bank < br > and the number of businesses that benefited from financial services . | | Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data Source < br > FIGA and PFIs | Data Source < br > FIGA and PFIs | | Methodology for Data < br > Collection < br > Beneficiaries include people , microenterprises , and SMEs . Financial services include mobile money accounts , loans , agri - < br > insurance , and so on . | Methodology for Data < br > Collection < br > Beneficiaries include people , microenterprises , and SMEs . Financial services include mobile money accounts , loans , agri - < br > insurance , and so on . | | Responsibility for Data < br > Collection < br > PPCG Fund Manager , PFIs . Data will be manually aggregated by the PIU . | Responsibility for Data < br > Collection < br > PPCG Fund Manager , PFIs . Data will be manually aggregated by the PIU . | | * * Beneficiaries reached with improved and new financial services - women ( Number ) * *", "n": 1, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:38:0:0", "surface": "FIGA and PFIs", "start": 890, "end": 903, "luna": 0, "luna_split": false, "head_score": 0.20317596197128296, "extractor_score": 0.8708925843238831, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "even when these sub-populations were included by design in the survey . To help change this situation , and following the recommendation from the IRRS and IRIS , a battery of easy-to-use questions , based on harmonized definitions , should be made widely available , and standard surveys should be encouraged to include them . The Compilers \u2019 Manual has already made progress in this area , as part of EGRIS \u2019 s phase 3 of work focusing on refinement and implementation . 3 . MAIN DATA SOURCES It is worth bearing in mind that large-scale surveys strive to keep questionnaires and interview times as short as possible . Adding questions that allow the production of SDG indicators disaggregated by FDP subpopulations is likely to face resistance unless these are easy to implement and do not represent a significant increase in the time of the interview . It is important to avoid unnecessary burden on respondents ( and potential harm ) , especially when dealing with vulnerable groups and / or conducting surveys in humanitarian or fragile contexts . * * Examples : The South Sudan HFS Wave 4 ( 2017 ) and the Somalia HFS Wave 2 ( 2017-2018 ) * * * * South Sudan HFS Wave 4 * * This is likely the best example of a dataset that allows calculation of SDG indicators for IDPs . The crisis recovery survey portion of this dataset is one of the most complete sources of data for IDPs , as the depth of the survey allowed for more indicators to be calculated than in any other survey , and the sampling focus on IDP camps meant that the sample size was large , not only for households but also household members . Hence , it was possible to calculate indicators for education as enough children were recorded in the data . This is compared to the DHS , for example , where after filtering , there were no children in the households born within the past five years to allow calculation of birth registration . * * South Sudan HFS Wave 2 * * This survey included questions and sampling methods designed to capture", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000141:19:0:3", "surface": "crisis recovery survey", "start": 1282, "end": 1304, "luna": 1, "luna_split": false, "head_score": 0.4728409945964813, "extractor_score": 0.7927616834640503, "band": "keep"}, {"key": "reliefweb:000141:19:0:4", "surface": "DHS", "start": 1744, "end": 1747, "luna": 1, "luna_split": false, "head_score": 0.8415974974632263, "extractor_score": 0.8902290463447571, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "Semi-annual | | Data source | WLAP attendance and completion records , utility and EAPP GS HR records , EAPP gender unit data | | Methodology for Data Collection | Collection of attendance lists , and HR records or registries from utilities and GS . | | Responsibility for Data Collection | EAPP GS | | * * STEM graduates complete at least six-month internships with IRB , gaining practical technical experience and mentorship to strengthen employability ( Number of people ) * * | * * STEM graduates complete at least six-month internships with IRB , gaining practical technical experience and mentorship to strengthen employability ( Number of people ) * * | | Description | Number of female STEM graduates covering disciplines such as Electrical Engineering , Civil Engineering , Mechanical Engineering , < br > Environmental Engineering , Economics , Energy Economics , Computer Science , Computer Engineering , Software Engineering , Information < br > Technology , and Data Science | | Frequency | Annual | | Data source | Internship completion report | | Methodology for Data Collection | Internship completion report | | Responsibility for Data Collection | IRB through EAPP GS | | * * % of project funds tracked through FundsChain ( Percentage ) * * | * * % of project funds tracked through FundsChain ( Percentage ) * * | | Description | Proportion of total project transactions recorded and reported via FundsChain | | Frequency | Semi-annual | | Data source | FundsChain system report | | Methodology for Data Collection | Analysis of FundsChain transaction records and reconciliation data | | Responsibility for Data Collection | EAPP GS | | * * Time lag between disbursement and reporting ( Months ) * * | * * Time lag between disbursement and reporting ( Months ) * * | | Description | Average time between fund disbursement and reporting in FundsChain | Page 79 Official Use Only", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:001898:86:1:0", "surface": "WLAP attendance and completion records", "start": 30, "end": 68, "luna": 0, "luna_split": false, "head_score": 0.8368146419525146, "extractor_score": 0.9448848962783813, "band": "keep"}, {"key": "fcv_pads_east_africa:001898:86:1:5", "surface": "FundsChain transaction records and reconciliation data", "start": 1547, "end": 1601, "luna": 0, "luna_split": false, "head_score": 0.2959684133529663, "extractor_score": 0.7012587785720825, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "\u201c normal \u201d growth ( the pattern of observed weight gain ) are added . This adjustment uses the 2 kilocalories per gram of tissue synthesis suggested in FAO ( 2001 ) combined with the average annual weight gain for each age and gender in the National Nutrition Monitoring Bureau data . Adjustments for the additional energy required by pregnant or nursing mothers are difficult due to lack of data , but energy requirements of infants themselves can be included . REE for infants ( children under age 1 ) is set such that male babies have TEE of 650 calories and female babies have TEE of 600 calories , consistent with the ( Indian Council of Medical Research 2009 ) report . Second , values outside of the 1 % of the tails of the distribution are replaced with the percentile cutoff values prior to estimation . # # # # * * B Estimation of Activity Levels ( AL ) * * Appendix Table S . 2 lists the time-use survey activity codes and headings , the average share of time spent on the activity by rural and urban individuals , and the matched activity factors from FAO ( 2001 ) . Estimates are not very sensitive to using alternative sources of activity factors , such as those developed for richer countries that tend to contain more detailed classifications of sports and exercise activities . Appendix Table S . 2 includes the matched activities and activity factors from ( Ainsworth et al . 2000 ) ( used by ( Cutler et al . 2003 ) ) for comparison , and Appendix Table S . 2 Panel C shows that the difference in activity levels using the measure used in the text and this alternative set of activity factors is quite small . The estimates reported in the text make two additional assumptions about activity factors to derive activity levels . First , since the time-use data reports time spent on \u201c related \u201d or \u201c other \u201d activities within certain headings , one must assign an activity factor in these cases . The activity factor used in this case is equal to the average for the activities matched under the same heading .", "n": 3, "band": "keep", "mentions": [{"key": "sample:prwp:000131:22:0:0", "surface": "National Nutrition Monitoring Bureau data", "start": 241, "end": 282, "luna": 1, "luna_split": false, "head_score": 0.9536648988723755, "extractor_score": 0.9205074310302734, "band": "keep"}, {"key": "sample:prwp:000131:22:0:1", "surface": "time-use survey", "start": 899, "end": 914, "luna": 1, "luna_split": false, "head_score": 0.7857986688613892, "extractor_score": 0.7948243618011475, "band": "keep"}, {"key": "sample:prwp:000131:22:0:2", "surface": "time-use data", "start": 1765, "end": 1778, "luna": 1, "luna_split": false, "head_score": 0.906158447265625, "extractor_score": 0.7959837317466736, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "15 , 902 * * 7 . Szczecin * * 14 , 318 * * 8 . Poznanski * * 14 , 028 * * 9 . Pruszkowski * * 12 , 206 18-59 female and male 60 + female and male two 18-59 or 60 + females other households 18-59 female with one or more 60 + individuals two 18-59 females 0 . 3 % 7 . 4 % * * 10 . Katowice * * 11 , 591 Note that poviat-level population does not include Ukrainian refugees , who were added to calculate their appropriate shares . Source : Deloitte own elaboration based on the PESEL database as of September 2024 and GUS population data as of mid-2024 . # # # # * * 1 . 3 Households income sources * * 18-59 female and male other households Note : Some groups that constituted less than 2 % of households have been omitted . Source : Deloitte own elaboration based on SEIS ( May-June 2024 ) UNHCR ( 2024 ) survey . * * The majority of refugees settled in * * * * major cities , especially Warsaw and * * * * Wroclaw , and their vicinities . * * Eight most populous poviats in Poland < sup > 5 < / sup > comprising 16 % of the host population , are also the top eight poviats in terms of the number of Ukrainian refugees , 29 % of whom reside there . This shows that Ukrainian refugees are more concentrated in the largest cities than the host population , as they migrated to the most attractive 5 Seven cities and Pozna\u0144ski poviat . 10 11 labour markets , where they have better chances of supporting themselves . Ukrainian refugees make up the largest shares of the population in the city of Wroclaw ( 7 . 4 % ) , Przemysl , a city on the Ukrainian border ( 6 . 5 % ) , and in Pruszkowski poviat", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:5:1:0", "surface": "PESEL database", "start": 475, "end": 489, "luna": 1, "luna_split": false, "head_score": 0.9794687032699585, "extractor_score": 0.959119975566864, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:5:1:1", "surface": "GUS population data", "start": 515, "end": 534, "luna": 1, "luna_split": false, "head_score": 0.9143690466880798, "extractor_score": 0.9599249958992004, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:5:1:2", "surface": "SEIS", "start": 766, "end": 770, "luna": 1, "luna_split": false, "head_score": 0.9690379500389099, "extractor_score": 0.7834555506706238, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:5:1:3", "surface": "UNHCR ( 2024 ) survey", "start": 789, "end": 810, "luna": 1, "luna_split": false, "head_score": 0.9179524183273315, "extractor_score": 0.7453516721725464, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "up > Only about 13 percent of women are paid employees compared with 23 . 3 percent of men . < sup > 12 < / sup > [ ^ 12 : UBOS Labour Force Surveys , 2013 and 2018 . ] Women also tend to hold lower-level positions : only 1 . 9 percent of women are employed as a manager or administrator , and only 2 . 4 percent as an associate professional , compared with male rates of 2 . 4 and 3 . 4 percent respectively . < sup > 13 < / sup > [ ^ 13 : UBOS 2018 . Uganda Labour Force Survey . ] * * Table 1 : Sex Segregation in the Labor Market ( UBOS 2011 / 12 and 2016 / 17 ) * * | Employment Status | 2011 / 12 | Col3 | Col4 | 2016 / 17 | Col6 | Col7 | | - - - | - - - | - - - | - - - | - - - | - - - | - - - | | | * * Male * * | * * Female * * | * * Total * * | * * Male * * | * * Female * * | * * Total * * | | Paid employee | 23 . 3 | 11 . 3 | 17 . 3 | 26 . 1 | 13 . 0 | 19 . 5 | | Self-employed | 58 . 1 | 66 . 3 | 62 . 2 | 69 . 5 | 79 . 8 | 74 . 8 | | Contributing family worker | 18 . 6 | 22 . 4 | 20 . 5 | 3 . 9 | 6 . 9 | 5 . 4 | | Other forms of work | n / a | n / a | n / a | 0 . 4 | 0 . 3 | 0 . 4 | 8 . * * Uganda has a strong culture of entrepreneurship , including among women . * * The Global Enterprise Monitor survey ( 2012 ) ranked it the most entrepreneurial country in the world , with 88 percent of respondents saying they felt they had \u201c high", "n": 3, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000005:4:1:0", "surface": "UBOS Labour Force Surveys", "start": 123, "end": 148, "luna": 1, "luna_split": false, "head_score": 0.9233043789863586, "extractor_score": 0.9166378974914551, "band": "keep"}, {"key": "sample:jdc_operational:000005:4:1:1", "surface": "Uganda Labour Force Survey", "start": 453, "end": 479, "luna": 1, "luna_split": false, "head_score": 0.7743375897407532, "extractor_score": 0.8427353501319885, "band": "keep"}, {"key": "sample:jdc_operational:000005:4:1:2", "surface": "Global Enterprise Monitor survey", "start": 1191, "end": 1223, "luna": 1, "luna_split": false, "head_score": 0.839627206325531, "extractor_score": 0.8964739441871643, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "ibility for Data < br > Collection < br > PPCG Fund Manager , PFIs . Data will be manually aggregated by the PIU . | | * * Beneficiaries reached with improved and new financial services - women ( Number ) * * | * * Beneficiaries reached with improved and new financial services - women ( Number ) * * | | Description < br > The indicator measures the number of women who benefited from financial services in operations supported by the Bank < br > and the number of businesses that benefited from financial services . | Description < br > The indicator measures the number of women who benefited from financial services in operations supported by the Bank < br > and the number of businesses that benefited from financial services . | | Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data Source < br > FIGA and PFIs | Data Source < br > FIGA and PFIs | | Methodology for Data < br > Collection < br > Beneficiaries include women , women-owned MSMEs . Financial services include mobile money accounts , loans , agri - < br > insurance , and so on . | Methodology for Data < br > Collection < br > Beneficiaries include women , women-owned MSMEs . Financial services include mobile money accounts , loans , agri - < br > insurance , and so on . | | Responsibility for Data < br > Collection < br > PPCG Fund Manager , PFIs . Data will be manually aggregated by the PIU . | Responsibility for Data < br > Collection < br > PPCG Fund Manager , PFIs . Data will be manually aggregated by the PIU . | | * * Persons that benefited from financial services - refugees ( Number ) * * | * * Persons that benefited from financial services - refugees ( Number ) * * | | Description < br > The", "n": 1, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:38:1:0", "surface": "FIGA and PFIs", "start": 824, "end": 837, "luna": 0, "luna_split": false, "head_score": 0.234146848320961, "extractor_score": 0.8297147750854492, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "4 . 2 . 3 Disaggregation of statistics on refugees Because of the system of administrative registers including unique PINs , statistics on the flow of refugees to Norway and the stock of people with refugee background in Norway can be disaggregated in the same way as all other register-based statistics on the population of Norway . This applies to basic demographic variables such as age , sex , country of birth , citizenship , educational attainment , fertility , mortality , emigration , etc . , but also to sustainable development indicators such as infant and maternal mortality rates , poverty indicators , etc . Concerning refugees in Norway , the SDGs can be grouped into different categories based on a partial list of estimates of SDG indicators published on 1 [ April 2020 in Norwegian at https : / / www . ssb . no / sdg ] ( https : / / www . ssb . no / sdg ) ( English version forthcoming ) . In general , since refugees have PINs like all other residents , statistics on SDG indicators that focus on individuals and that 4 . COUNTRIES IN FOCUS can be produced by administrative data , such as 1 . 2 . 2 , 1 . 3 . 1 , 3 . 2 . 1 , 3 . 2 . 2 , 3 . 6 . 1 , 3 . 7 . 2 , 4 . 1 . 1 , 4 . 2 . 2 , 4 . 3 . 3 , 5 . 5 . 1 , 5 . 5 . 2 , 5 . b . 2 , 8 . 6 . 1 , 8 . 8 . 1 and 17 . 8 . 1 , may be produced for refugees as well - some quite easily , while others require more work on record linkage and perhaps also for confidentiality issues . Other SDG indicators that focus on individuals , but which cannot be estimated from administrative sources , can sometimes be estimated from sample surveys . Statistics Norway has conducted several sample surveys of immigrants , including on living conditions . The last national survey was carried out in 2016 .", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000141:29:0:1", "surface": "sample surveys", "start": 1587, "end": 1601, "luna": 0, "luna_split": false, "head_score": 0.6191489696502686, "extractor_score": 0.7721521854400635, "band": "keep"}, {"key": "reliefweb:000141:29:0:2", "surface": "sample surveys of immigrants", "start": 1644, "end": 1672, "luna": 1, "luna_split": false, "head_score": 0.41094616055488586, "extractor_score": 0.8426260948181152, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * Independent Evaluation Group ( IEG ) * * Implementation Completion Report ( ICR ) Review ET - Health SDG Program for Results ( P123531 ) * * 8 . M & E Design , Implementation , & Utilization * * * * a . M & E Design * * The objective of the program was clearly stated and reflected by the selected indicators . M & E arrangements were well embedded institutionally and would use HSDP IV information system complemented by household and health facility surveys ( p . 21 ) . For population-based surveys , the program would utilize the reliable data of the Demographic and Health Survey whose implementation is coordinated by the Central Statistical Agency , an entity independent of FMOH . The provision of data would be coordinated by FMOH and the Ethiopian Health and Nutrition Research Institute , assisted by the Gates Foundation , UNICEF and WHO . The PforR was planned to support ongoing government efforts to further strengthen HMIS . * * b . M & E Implementation * * M & E Implementation was adequate overall , but with challenges encountered during the latter years of implementation in view of the COVID-19 pandemic combined with security concerns that made population-based surveys more challenging . The balanced score card was dropped because the scheme was replicated nationwide at an early stage ( ICR , p . 27 ) . Regular reporting facilitated verification processes and disbursements . There were other surveys and studies conducted during the life of the program and they provided policymakers with valuable information for decision making , such as the nutrition reports with a wide range of data and recommendations for improving interventions supported by the program , e . g . , Iron Folic Acid utilization , Vitamin A supplementation , and Growth Monitoring and Promotion . * * c . M & E Utilization * * M & E findings were used for program monitoring , including to : ( i ) take stock of progress on DLIs and identify remedial actions if needed ; ( ii ) identify areas requiring technical assistance ; ( iii ) hold", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:001913:16:0:0", "surface": "HSDP IV information system", "start": 383, "end": 409, "luna": 0, "luna_split": false, "head_score": 0.40181800723075867, "extractor_score": 0.9155489206314087, "band": "confusion"}, {"key": "fcv_pads_east_africa:001913:16:0:1", "surface": "household and health facility surveys", "start": 426, "end": 463, "luna": 0, "luna_split": false, "head_score": 0.34282201528549194, "extractor_score": 0.9546217918395996, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "qualitative data is collected , for instance , to understand patterns of well-being across a large country which would follow the familiar logic of stratified probability sampling ( Alexander , 2017 ) . 4 ) Integrating qualitative and quantitative work can be done in different ways . Following classical inferential logic , small-N qualitative work can be conducted using the case study method to develop hypotheses , which can then be tested for their generalizability , possibly mediated by a theoretical model , with quantitative data collected from a representative sample of respondents ( Rao , 1997b ) . The integrated collection and analysis of qualitative and quantitative information can also be analyzed using Bayesian inference ( Humphries and Jacobs 2015 ) . 5 ) Machine learning and Natural Language Processing are a double-edged sword . They offer tremendous advantages in moving us towards analyzing narrative data at scale . Yet , supervised methods that rely on biased training sets , such as sentiment dictionaries developed for western contexts applied to non-western linguistic cultures , can result in substantial bias . Furthermore , as Woolcock ( 2021 ) has argued , when machines are used for analyzing data , narratives have the danger of being analyzed out of context and without nuance , resulting in misinterpretation . In other words , relying on machines without sensitive human intervention has the danger of turning reflexively collected data into non-reflexive analysis . 6 ) Process , studied carefully with qualitative methods , can be extremely valuable to understand the mechanisms of change and thus complement time-variant quantitative studies , particularly impact evaluations . Understanding process matters not just for research but also for policy , where an exclusive emphasis on policies that can only be assessed using experiments or impact evaluations can sharply limit our capacity to imagine and create a better world ( Rao , 2019 ) . 7 ) The potential for the direct participation of \u201c respondents , \u201d \u201c beneficiaries , \u201d and \u201c subjects \u201d in research is vastly unexplored . If our purpose as researchers is to assist in the process by which people", "n": 2, "band": "confusion", "mentions": [{"key": "prwp:000135:20:0:1", "surface": "quantitative data", "start": 521, "end": 538, "luna": 0, "luna_split": false, "head_score": 0.36026427149772644, "extractor_score": 0.7981091737747192, "band": "confusion"}, {"key": "prwp:000135:20:0:2", "surface": "narrative data", "start": 916, "end": 930, "luna": 0, "luna_split": false, "head_score": 0.32569918036460876, "extractor_score": 0.41452884674072266, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "themselves . Ukrainian refugees make up the largest shares of the population in the city of Wroclaw ( 7 . 4 % ) , Przemysl , a city on the Ukrainian border ( 6 . 5 % ) , and in Pruszkowski poviat , a suburban area of Warsaw ( 6 . 3 % ) . The city of Warsaw comes seventh with Ukrainian refugees comprising 5 . 6 % of the local population . * * Ukrainian refugees in Poland continue * * * * to get their incomes primarily from * * * * work . * * In the SEIS survey conducted in May and June 2024 , 80 % of the refugee households \u2019 incomes came from work , which included full-time and part-time work , self-employment , remote work , and other forms of employment in Poland , as well as remote employment in Ukraine . This is the same as in the previous MSNA survey , conducted in July and August 2023 ( see Deloitte , 2024 ) , despite the fact that the child benefit received by 42 % of Ukrainian refugee households increased in that time from PLN 500 to PLN 800 a month . For a vast majority of Ukrainian household the \u201e Family 800 + \u201d child benefit was the only social benefit that they received from the Polish government . Only 5 % of Ukrainian refugee households claimed an accommodation allowance , 4 % \u2013 a disability grant and an even smaller percentage \u2013 other benefits .", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:5:2:0", "surface": "SEIS survey", "start": 452, "end": 463, "luna": 1, "luna_split": false, "head_score": 0.9037793874740601, "extractor_score": 0.9265953898429871, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:5:2:1", "surface": "MSNA survey", "start": 753, "end": 764, "luna": 1, "luna_split": false, "head_score": 0.8447440266609192, "extractor_score": 0.9300426244735718, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "25 < / sup > 20 . * * The risk of being exposed to GBV may also discourage women from entering more profitable sectors or growing * * * * a business if it threatens norms around the role of a male provider * * . The relationship between women ' s empowerment and the experience of violence is an empirical question and programs that attempt to economically empower women need to consider the possibility of backlash from the community at large . There is a growing evidence base that programs that combine targeted economic support to women with training that engages male partners and community members can mitigate the risk of GBV . < sup > 26 < / sup > [ ^ 26 : Center for Domestic Violence Prevention . 2013 . _Economic Costs of Domestic Violence in Uganda_ . ] 21 . * * Refugee women face barriers to starting and growing businesses , especially regarding accessing technology and * * * * finance . * * A survey of refugee settlements found that a lack of national identification , as well as charges and fees , present significant barriers to accessing financial services , especially for women . The study found financial inclusion is relatively low , with 37 percent and 46 percent of adults having access to formal financial services , and 36 and 46 percent holding a mobile money account , respectively . A 2018 survey by the World Bank Group reported that less than fewer than 5 percent of all refugees had received any kind of skills or job training , and most who were engaged in agricultural production were not using improved inputs and were heavily reliant on rainfall . < sup > 27 < / sup > [ ^ 27 : Musime , David . 2019 . \u201c Financial Markets for Refugees and Host Communities in Arua and Isingiro Districts . \u201d November . Washington DC : World Bank . ] * * _Relationship to the Country Partnership Framework_ * * 22 . * * The proposed project aligns with the World Bank \u2019 s Country Partnership Framework ( CPF ) for Uganda ( 2015 / 16 \u2013 * * * * 2020 / 21 ) * * . The CPF ( report 101173-UG", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000005:7:1:0", "surface": "survey of refugee settlements", "start": 910, "end": 939, "luna": 1, "luna_split": false, "head_score": 0.7353172302246094, "extractor_score": 0.9327884912490845, "band": "keep"}, {"key": "jdc_operational:000005:7:1:1", "surface": "2018 survey by the World Bank Group", "start": 1317, "end": 1352, "luna": 1, "luna_split": false, "head_score": 0.9300461411476135, "extractor_score": 0.8966397047042847, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "> Number of MSMEs that benefited from business development services received through project interventions . | Description < br > Number of MSMEs that benefited from business development services received through project interventions . | | Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data source < br > Implementation partners | Data source < br > Implementation partners | | Methodology for Data < br > Collection < br > Training records | Methodology for Data < br > Collection < br > Training records | | Responsibility for Data < br > Collection < br > Data aggregated by PIU | Responsibility for Data < br > Collection < br > Data aggregated by PIU | | * * Women-owned MSMEs benefiting from business development and technology adoption services supported by the project ( Number ) * * | * * Women-owned MSMEs benefiting from business development and technology adoption services supported by the project ( Number ) * * | | Description < br > Number of women-owned MSMEs that benefited from business development services received through project < br > interventions . | Description < br > Number of women-owned MSMEs that benefited from business development services received through project < br > interventions . | | Frequency | Semi-annually | ~ ~ Page 37 of 55 ~ ~", "n": 1, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:40:3:2", "surface": "Data aggregated by PIU", "start": 582, "end": 604, "luna": 0, "luna_split": false, "head_score": 0.08686580508947372, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "somewhat effective and 23 . 08 % say it was not effective at all . Only 23 . 08 % said such efforts were very effective indicating a need to further strengthen access and inclusion for marginalized groups in aid distribution . Given these challenges , participants suggested increasing funding and strengthening local partnerships to improve both the fairness and COMMUNITY PERCEPTION SURVEY ANALYSIS 2024 effectiveness of aid distribution . They called for more inclusive aid programs that incorporate local voices and a greater focus on transparency to prevent the diversion and mismanagement of resources . This was reinforced by survey data showing that only 22 . 86 % of respondents felt that training on protection , inclusivity , and equality was \u201c very effective , \u201d pointing to a need for enhanced capacity-building initiatives . # # # # # # Community Engagement and Participation Reports from the Community Engagement and Accountability ( CEA ) Taskforce indicate that while communities show a clear preference for in-person reporting and engagement , there are varied perceptions regarding the effectiveness of humanitarian organizations \u2019 engagement with communities . Although 31 . 18 % of respondents believe such engagement is somewhat effective , only 26 . 42 % rate it as very effective , indicating that current efforts are falling short of delivering substantial impact . More concerning is the 21 . 80 % of respondents who perceive these engagement efforts as not effective at all , suggesting significant room for improvement . When it comes to disseminating key messages on issues such as abuse and exploitation , the response is similarly divided . While 33 . 56 % of community members view these messages as somewhat effective , only 21 . 20 % consider them effective , and 23 . 71 % find them ineffective . While messages related to inclusion , fraud , aid diversion and corruption were viewed at 33 . 99 % \u201c somewhat effective \u201d to not effective at 22 . 51 % , expressing a moderate to little impact . This indicates that despite attempts to raise awareness , these messages are not achieving their intended outcomes and may require a re-evaluation of communication strategies . Community involvement in program design appears to be", "n": 2, "band": "keep", "mentions": [{"key": "sample:reliefweb:000151:9:0:0", "surface": "COMMUNITY PERCEPTION SURVEY ANALYSIS 2024", "start": 364, "end": 405, "luna": 1, "luna_split": false, "head_score": 0.8467550873756409, "extractor_score": 0.1068737655878067, "band": "keep"}, {"key": "sample:reliefweb:000151:9:0:1", "surface": "survey data", "start": 633, "end": 644, "luna": 1, "luna_split": false, "head_score": 0.8226292729377747, "extractor_score": 0.9480115175247192, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "br > Program ( Number ) | Comments on achieving targets | Comments on achieving targets | Pending UDG disbursement | Pending UDG disbursement | Pending UDG disbursement | Pending UDG disbursement | Pending UDG disbursement | Pending UDG disbursement | | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | * * RA 4 - Improved private sector engagement * * | | Indicator Name | Baseline | Baseline | Actual ( Previous ) | Actual ( Previous ) | Actual ( Current ) | Actual ( Current ) | Closing Period | Closing Period | | Indicator Name | Result | Month / Year | Result | Date | Result | Date | Result | Month / Year | | Participating urban board with up-to - < br > date business enterprise database < br > ( Percentage ) | 0 . 00 | Jun / 2023 | 0 . 00 | 14-Mar-2025 | 0 . 00 | 14-Mar-2025 | 50 . 00 | Jun / 2028 | | Participating urban board with up-to - < br > date business enterprise database < br > ( Percentage ) | Comments on achieving targets | Comments on achieving targets | To be tracked in APA2 | To be tracked in APA2 | To be tracked in APA2 | To be tracked in APA2 | To be tracked in APA2 | To be tracked in APA2 | | Participating urban boards operating < br > within the county government ' s", "n": 1, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:001991:14:2:0", "surface": "business enterprise database", "start": 1035, "end": 1063, "luna": 0, "luna_split": false, "head_score": 0.15135034918785095, "extractor_score": 0.7355576157569885, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "We use four data sources in our analysis . Our primary data source is the specialized household survey data from the randomized evaluation of _Pantawid_ that contains information on consumption , select food prices , child anthropometry , health care utilization , labor supply , demographic composition and other behavior . We also use village-level administrative data on program saturation , data on unit values of food prices from the national household budget survey , as well as the Household Assessment Form that determined program-eligible households in 2008 . < u > Household Data from the 2011 < / u > _ < u > Pantawid < / u > _ < u > Impact Evaluation < / u > 2 , 555 households were surveyed in the eight study municipalities during the follow-up survey . < sup > 14 < / sup > [ ^ 14 : Household-level attrition from the baseline sample was 11 . 4 percent ( 80 of 624 households ) in treated villages and 11 . 2 percent ( 80 of 634 households ) in control villages , with no evidence of a significant difference by treatment status ( Chaudhury , Friedman , and Onishi 2013 ) . ] With an eye toward investigating potential spillovers on nonbeneficiary households , the study population included 1 , 418 households that were eligible for the transfers , as well as 1 , 137 households that had proxy means test scores _above_ the provincial threshold but had age-eligible children or pregnant women . For anthropometric outcomes , we focus on children ages 6 to 36 months at the time of the follow-up survey , while for food intake , we consider children aged 6 to 60 months . Further details on sample sizes , program take up , anthropometric measures , and the robustness of our results to trimming cutoffs for the anthropometric measures are presented in Annex 1 . < u > Program Saturation < / u > We have comprehensive village-level data on the number of households enrolled in _Pantawid_ each year from 2009 to 2015 as reported by the provincial office of the Department of Social Welfare . These data allow us to calculate annual village level program saturation , defined as the number of beneficiary households for that", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000152:13:0:0", "surface": "specialized household survey data", "start": 74, "end": 107, "luna": 1, "luna_split": false, "head_score": 0.8845438361167908, "extractor_score": 0.7287060022354126, "band": "keep"}, {"key": "prwp:000152:13:0:3", "surface": "Household Data from the 2011", "start": 575, "end": 603, "luna": 1, "luna_split": false, "head_score": 0.6334909796714783, "extractor_score": 0.73333740234375, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 7 . Income of Ukrainian refugee households by source * * * * 2 % * * * * 0 . 1 % * * Work ( regular , part-time , self-employment , remote , other , remote in Ukraine ) Remittances from Ukraine Polish social benefits Ukrainian social benefits Other ( capital , loans , other ) Source : Deloitte own elaboration based on SEIS ( May-June 2024 ) UNHCR ( 2024 ) survey . Note : Deloitte worked with disaggregated household-level data , ensuring comparability ( converting all Ukrainian hryvnia incomes into Polish zloty based on daily exchange rates in the time of the interview , and 3-month into 1-month remittance incomes ) . * * In 2024 , Ukrainian refugee households * * * * increasingly sourced their income from * * * * Poland , rather than from Ukraine . * * This can be seen when comparing the MSNA survey conducted in July-August 2023 and SEIS in May-June 2024 ( UNHCR , 2024 , 2023 ) . While some methodological differences apply , we can see that incomes earned in Poland grew from 81 % in 2023 to 90 % in 2024 . Conversely , incomes from Ukraine declined from 18 % to just 9 % . This change demonstrates that Ukrainian refugees continue to integrate economically . It comes as no surprise , given that employment rates and wages of Ukrainian refugees in Poland increased during that time , which is the focus of the next chapter . Analysis of the impact of refugees from Ukraine on the economy of Poland * * According to academic literature , * * * * better access to host country \u2019 s public * * * * services increases the likelihood of * * * * refugees returning to their country of * * * * origin , while labour market integration * * * * decreases it . * * Some evidence shows that when refugees from Ukraine have access to education , healthcare", "n": 5, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:6:0:0", "surface": "SEIS", "start": 403, "end": 407, "luna": 1, "luna_split": false, "head_score": 0.975641667842865, "extractor_score": 0.6648348569869995, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:6:0:1", "surface": "UNHCR ( 2024 ) survey", "start": 426, "end": 447, "luna": 1, "luna_split": false, "head_score": 0.8725624084472656, "extractor_score": 0.6462192535400391, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:6:0:2", "surface": "disaggregated household-level data", "start": 478, "end": 512, "luna": 1, "luna_split": false, "head_score": 0.8318760395050049, "extractor_score": 0.8689422607421875, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:6:0:3", "surface": "MSNA survey", "start": 882, "end": 893, "luna": 1, "luna_split": false, "head_score": 0.9391923546791077, "extractor_score": 0.9258630275726318, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:6:0:4", "surface": "SEIS", "start": 928, "end": 932, "luna": 1, "luna_split": false, "head_score": 0.8659305572509766, "extractor_score": 0.8745406866073608, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "- must also comply with the investment menu covering the GoU Transitional Development Grant ; - be consistent with the guidelines developed for the DDEG and the respective Sector Development Grants . 46 . The table below reflects the core changes to the DLI tables , whereas the full set of new DLIs , verification protocol and disbursement tables are included in annex 2 . DLIs 1-6 have been maintained but strengthened , whereas 7-8 are new DLIs targeting the sub-window for refugees and host communities . * * Table 7 : DLI status and revisions made under the AF * * < sup > 43 < / sup > [ ^ 43 : Please refer to annex DLI table for detailed breakdown of the DLIs per year . ] | & < br > disbursements ) < br > ( targets < br > DLIs < br > DLI 1 : < br > Program LGs < br > have met all < br > Program < br > Minimum < br > Conditions < br > DLI 2 : < br > Program LGs < br > have < br > strengthened < br > institutional < br > performance < br > DLI 3 : < br > Program LGs < br > have < br > implemented < br > Infrastructure < br > Action Plans < br > DLI 4 : < br > Program LGs < br > have < br > implemented < br > Institutional < br > Strengthening < br > Plans < br > DLI 5 : < br > MoLHUD has < br > executed < br > Performance < br > Improvement < br > Plans for < br > Program LGs < br > DLI 6 : < br > Program LGs < br > with Town < br > Clerks in Place < br > DLI 7 : Results < br > on physical < br > planning , land < br > tenure security < br > and urban < br > infrastructure < br > development < br > in Program |", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000006:25:0:0", "surface": "DLI tables", "start": 254, "end": 264, "luna": 0, "luna_split": false, "head_score": 0.24224749207496643, "extractor_score": 0.43890970945358276, "band": "confusion"}, {"key": "jdc_operational:000006:25:0:1", "surface": "annex DLI table", "start": 616, "end": 631, "luna": 0, "luna_split": false, "head_score": 0.34451550245285034, "extractor_score": 0.17045903205871582, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Burundi - Jobs and Economic Transformation Project - PRETE ( P177688 ) | Data source Implementation partners | Col2 | | - - - | - - - | | Methodology for Data < br > Collection < br > Training records | Methodology for Data < br > Collection < br > Training records | | Responsibility for Data < br > Collection < br > Data aggregated by PIU | Responsibility for Data < br > Collection < br > Data aggregated by PIU | | * * MSMEs owned by refugees benefitting from business development and technology adoption services supported by the project ( Number ) * * | * * MSMEs owned by refugees benefitting from business development and technology adoption services supported by the project ( Number ) * * | | Description < br > Number of refugee-owned MSMEs that benefited from business development services received through project < br > interventions . | Description < br > Number of refugee-owned MSMEs that benefited from business development services received through project < br > interventions . | | Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data Source < br > Implementation partners | Data Source < br > Implementation partners | | Methodology for Data < br > Collection < br > Training records | Methodology for Data < br > Collection < br > Training records | | Responsibility for Data < br > Collection < br > Data aggregated by PIU | Responsibility for Data < br > Collection < br > Data aggregated by PIU | | * * Number of MSMEs supported with technology grants ( Number ) * * | * * Number of MSMEs supported with technology grants ( Number ) * * | | Description < br > Number of MSMEs who applied for and received full grant amount ( total number of MSMEs that received in-kind grants < br", "n": 1, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:41:0:0", "surface": "Data aggregated by PIU", "start": 342, "end": 364, "luna": 0, "luna_split": false, "head_score": 0.07757289707660675, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "615 . 400 | 331 . 500 | 8 % | | Asia y el < br > Pac\u00edfco | 4 . 114 . 400 | 48 . 700 | - | 4 . 163 . 100 | 3 . 968 . 400 | 48 . 000 | - | 4 . 016 . 400 | - 146 . 700 | - 4 % | | Europa | 6 . 543 . 500 | 27 . 000 | - | 6 . 570 . 500 | 6 . 671 . 900 | 105 . 300 | - | 6 . 777 . 200 | 206 . 700 | 3 % | | Medio Oriente < br > y Norte de < br > \u00c1frica | 2 . 602 . 400 | 40 . 300 | - | 2 . 642 . 700 | 2 . 483 . 500 | 26 . 000 | - | 2 . 509 . 500 | - 133 . 200 | - 5 % | | * * Total * * | * * 20 . 191 . 000 * * | * * 224 . 800 * * | * * 3 . 582 . 200 * * | * * 23 . 998 . 000 * * | * * 20 . 359 . 600 * * | * * 288 . 100 * * | * * 3 . 856 . 300 * * | * * 24 . 504 . 000 * * | * * 506 . 000 * * | * * 2 % * * | * * Estimaci\u00f3n de la composici\u00f3n * * * * demogr\u00e1fica de personas * * * * desplazadas a trav\u00e9s de * * * * las fronteras * * < sup > * * 50 * * < / sup > En el marco de su mandato , al final de cada a\u00f1o , ACNUR compila los datos globales sobre la distribuci\u00f3n combinada por sexo y edad de las poblaciones de inter\u00e9s . La disponibilidad de los datos demogr\u00e1", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000160:14:2:0", "surface": "datos globales", "start": 926, "end": 940, "luna": 0, "luna_split": false, "head_score": 0.213021382689476, "extractor_score": 0.9011234641075134, "band": "confusion"}, {"key": "reliefweb:000160:14:2:1", "surface": "datos demogr\u00e1", "start": 1046, "end": 1059, "luna": 0, "luna_split": false, "head_score": 0.30680108070373535, "extractor_score": 0.6068738102912903, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * THE NORTHEASTERN ROAD-CORRIDOR ASSET MANAGEMENT PROJECT 2 - ( NERAMP 2 ) ( P514937 ) PROJECT APPRAISAL DOCUMENT | Description | Direct people within the host communities that benefit from improved access to sustainable transport infrastructure and < br > services | | - - - | - - - | | Frequency | Annual | | Data source | Progress report by implementing entities , traffic surveys , market usage surveys , and labor records | | Methodology for Data < br > Collection | Road condition surveys using laser profilers , HDM \u2011 4 analysis to classify segments , GIS mapping of condition classes | | Responsibility for Data < br > Collection | MoWT PIU , M & E Consultant | | * * Improved Road Safety * * | * * Improved Road Safety * * | | * * Reduction in fatal and serious injury crashes along the rehabilitated corridor ( percentage ) * * | * * Reduction in fatal and serious injury crashes along the rehabilitated corridor ( percentage ) * * | | Description | Percentage of fatal and serious injury crashes along the corridor . Reflects safety improvements from engineering and < br > enforcement . | | Frequency | Semiannual | | Data source | National crash database , Police crash database , hospital records , community reporting , and project management reports | | Methodology for Data < br > Collection | Extraction from the national crash database , triangulation with district health facilities | | Responsibility for Data < br > Collection | Uganda Police , MoWT PIU M & E Consultant | | * * Increased resilience and adaptation to climate change * * | * * Increased resilience and adaptation to climate change * * | | * * People benefiting from climate-resilient infrastructure ( Number of people ) * * | * * People benefiting from climate-resilient infrastructure ( Number of people ) *", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:002275:43:0:2", "surface": "labor records", "start": 434, "end": 447, "luna": 1, "luna_split": false, "head_score": 0.40177488327026367, "extractor_score": 0.9464693665504456, "band": "confusion"}, {"key": "fcv_pads_east_africa:002275:43:0:5", "surface": "Police crash database", "start": 1191, "end": 1212, "luna": 1, "luna_split": false, "head_score": 0.7818453311920166, "extractor_score": 0.8917344808578491, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "minsa . gob . pe / sala_situacional . asp ) < / u > Peru ' s Ministry of Health provides 19 , Health < u > [ 19 . minsa . gob ] ( https : / / covid19 . minsa . gob . pe / sala_situacional . asp ) < / u > daily metadata of COVID-19 fatalities 2020 < u > [ . pe / sala_situ ] ( https : / / covid19 . minsa . gob . pe / sala_situacional . asp ) < / u > which include variables for age and Government of Pakistan < u > [ http : / / covid . ] ( http : / / covid . gov . pk / stats / pakistan ) < / u > < u > [ gov . pk / stats / ] ( http : / / covid . gov . pk / stats / pakistan ) < / u > < u > [ pakistan ] ( http : / / covid . gov . pk / stats / pakistan ) < / u > * * Peru * * 7 , 641 Yes June Ministry of < u > [ https : / / covid ] ( https : / / covid19 . minsa . gob . pe / sala_situacional . asp ) < / u > Peru ' s Ministry of Health provides 19 , Health < u > [ 19 . minsa . gob ] ( https : / / covid19 . minsa . gob . pe / sala_situacional . asp ) < / u > daily metadata of COVID-19 fatalities 2020 < u > [ . pe / sala_situ ] ( https : / / covid19 . minsa . gob . pe / sala_situacional . asp ) < / u > which include variables for age and < u > [", "n": 1, "band": "confusion", "mentions": [{"key": "prwp:000211:27:1:0", "surface": "daily metadata of COVID-19 fatalities 2020", "start": 204, "end": 246, "luna": 1, "luna_split": false, "head_score": 0.3917436897754669, "extractor_score": 0.8214315176010132, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "less about \u2018 desire \u2019 and more about ' capacity ' , what in development terms includes social capital , human capital ( like education and skills ) , and even psychological readiness . That capacity is shaped by a combination of public policies and personal circumstance . < sup > 6 < / sup > \u00a9 UNHCR / Anna Liminowicz 6 Crucial will also be the \u2018 pull \u2019 factors in Ukraine , which will be determined by the conditions of future peace . The longer the full-scale war continues , the smaller will be the percentage of refugees who are willing to return to Ukraine ( Tokariuk , 2025 ) . Some 1 . 3 million refugees have already returned to Ukraine . However , report that economic opportunities in areas of return are inferior than what they had expected before returning , and while half of respondents are currently working , only around a quarter reported being able to cover all or most of their basic needs , and only around a third report feeling safe in their current locations ( UNHCR , 2025c ) . 13 * * Chart 8 . Ukrainian refugee household incomes from Poland and Ukraine in 2023 and 2024 * * MSNA 2023 SEIS 2024 MSNA 2023 SEIS 2024 MSNA 2023 SEIS 2024 Income from Poland Income from Ukraine Unclassified income Work Benefits Remittances Other Note : There are minor differences in the MSNA and SEIS income categories , as in MSNA remittances refer to all remittances from friends and family , while in SEIS to remittances from Ukraine . Source : Deloitte own elaboration based on MSNA ( July-August 2023 ) and SEIS ( May-June 2024 ) UNHCR ( 2024 , 2023 ) surveys . 12", "n": 2, "band": "keep", "mentions": [{"key": "jad_paddy_docs:000001:6:2:0", "surface": "MSNA", "start": 1489, "end": 1493, "luna": 1, "luna_split": false, "head_score": 0.9271594882011414, "extractor_score": null, "band": "keep"}, {"key": "jad_paddy_docs:000001:6:2:1", "surface": "UNHCR ( 2024 , 2023 ) surveys", "start": 1542, "end": 1571, "luna": 1, "luna_split": false, "head_score": 0.8760477304458618, "extractor_score": 0.5399494767189026, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "extreme vulnerability of the Chadian economy to external shocks makes it difficult to sustainably finance * * * * development , especially social sectors * * . Social spending serves as an adjustment variable in times of economic crises . In response to this situation , the Country developed an Industrialization and Economic Diversification Master Plan ( PDIDE ) in 2020 that seeks to move the country ' s economic growth rate from around 2 percent in 2017 to more than 8 percent per year until 2030 . < sup > 2 < / sup > This Plan builds on four priority areas : governance , infrastructure , financing , and human capital . 4 . The * * country \u2019 s Human Capital Index ( HCI ) has remained low during the last decade . * * The HCI for Chad went from 0 . 29 in 2010 to 0 . 30 in 2020 . Despite this small increase , Chad \u2019 s HCI is lower than the average for Sub-Saharan Africa and for low-income countries . This means that a child born in Chad today will be 30 percent as productive when she / he grows up as could be if enjoying complete education and full health . This poor performance is driven largely by the low probability of survival to age five ( 88 per 100 children born ) , high levels of stunting ( 40 percent of children ) , and poor education participation and quality . A child in Chad can be expected to complete only 5 . 3 years of school by the age of 18 , but factoring in what is actually learned , this is the equivalent of only 2 . 8 years . 1 World Bank DataBank , World Development Indicators ( Poverty Headcount ratio at national poverty lines , 2018 ) . 2 United Nations Economic Commission for Africa ( UNECA ) Aug 03 , 2021 Page 3 of 27", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000009:2:1:0", "surface": "Human Capital Index", "start": 652, "end": 671, "luna": 1, "luna_split": false, "head_score": 0.7917956709861755, "extractor_score": 0.8182175755500793, "band": "keep"}, {"key": "sample:jdc_operational:000009:2:1:1", "surface": "World Bank DataBank", "start": 1470, "end": 1489, "luna": 1, "luna_split": false, "head_score": 0.9019590616226196, "extractor_score": 0.6002956032752991, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "| Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data Source < br > Implementation partners | Data Source < br > Implementation partners | | Methodology for Data < br > Collection < br > Grant disbursement records | Methodology for Data < br > Collection < br > Grant disbursement records | | Responsibility for Data < br > Collection < br > Data aggregated by PIU | Responsibility for Data < br > Collection < br > Data aggregated by PIU | | * * Number of MSMEs owned by refugees supported with technology grants ( Number ) * * | * * Number of MSMEs owned by refugees supported with technology grants ( Number ) * * | | Description < br > Number of refugee-owned MSMEs who applied for and received full grant amount ( total number of MSMEs that received < br > in-kind grants and cash funding through the project ) . | Description < br > Number of refugee-owned MSMEs who applied for and received full grant amount ( total number of MSMEs that received < br > in-kind grants and cash funding through the project ) . | | Frequency < br > Semi-annually | Frequency < br > Semi-annually | | Data Source < br > Implementation partners | Data Source < br > Implementation partners | | Methodology for Data < br > Collection < br > Grant disbursement records | Methodology for Data < br > Collection < br > Grant disbursement records | | Responsibility for Data < br > Collection < br > Data aggregated by PIU | Responsibility for Data < br > Collection < br > Data aggregated by PIU | | * * Additional annual revenue generated by supported MSMEs ( Percentage ) * * | * * Additional annual revenue generated by supported MSMEs ( Percentage ) * * | | Description < br > Increase in", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:41:2:0", "surface": "Grant disbursement records", "start": 208, "end": 234, "luna": 0, "luna_split": false, "head_score": 0.14498943090438843, "extractor_score": 0.796089768409729, "band": "confusion"}, {"key": "refugee_pads:000004:41:2:2", "surface": "Data aggregated by PIU", "start": 363, "end": 385, "luna": 0, "luna_split": false, "head_score": 0.10678013414144516, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "los datos de localizaci\u00f3n subnacionales . * * b . Estad\u00edsticas vitales * * La actualizaci\u00f3n peri\u00f3dica y la cobertura exhaustiva de los principales acontecimientos de la vida es un componente importante de las estad\u00edsticas de poblaci\u00f3n . Las estad\u00edsticas vitales del ACNUR incluyen la recopilaci\u00f3n bianual de datos sobre nacimientos y muertes de personas refugiadas . Sin embargo , la precisi\u00f3n en la informaci\u00f3n y el registro de estas estad\u00edsticas vitales sigue siendo dif\u00edcil . En 2020 , menos de un tercio de los pa\u00edses que acogen al menos a 1 . 000 personas refugiadas notificaron al menos un nacimiento o una muerte . La informaci\u00f3n var\u00eda significativamente seg\u00fan la regi\u00f3n , con la cobertura m\u00e1s baja en las Am\u00e9ricas y en Europa , y la m\u00e1s alta en las tres regiones del \u00c1frica subsahariana , donde el ACNUR dirige el registro y otras actividades de apoyo para las personas refugiadas . En 2020 , el ACNUR aplic\u00f3 enfoques de modelo estad\u00edstico para los datos disponibles , incluidos los datos demogr\u00e1ficos , para estimar la cantidad total de ni\u00f1as y ni\u00f1os nacidos como refugiadas y refugiados , mejorando as\u00ed la estimaci\u00f3n al minimizar el impacto de los datos que faltan ( consulte la p\u00e1gina 10 ) . * * c . Estimaci\u00f3n de las cifras de poblaci\u00f3n * * Las estad\u00edsticas de poblaci\u00f3n precisas y fiables son la base del dise\u00f1o , la ejecuci\u00f3n y la eficacia de muchas", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000160:67:3:0", "surface": "datos de localizaci\u00f3n subnacionales", "start": 4, "end": 39, "luna": 0, "luna_split": false, "head_score": 0.6544468402862549, "extractor_score": 0.8986569046974182, "band": "keep"}, {"key": "reliefweb:000160:67:3:2", "surface": "datos demogr\u00e1ficos", "start": 991, "end": 1009, "luna": 1, "luna_split": false, "head_score": 0.7148574590682983, "extractor_score": 0.9167769551277161, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "excavation and < br > installation of mark < br > stones . | < br > The Contractor shall < br > implement the < br > provisions of the project < br > OSH measures that have < br > been developed for the < br > project . < br > Among others : < br > All project workers will < br > be provided with < br > adequate PPE like < br > helmets , gumboots , < br > gloves , overalls etc . and < br > it will be mandatory for < br > workers to wear < br > protective clothing < br > while on duty . < br > The PPE shall be < br > inspected regularly and < br > maintained or replaced < br > as necessary . | < br > < br > NFA < br > Contractor < br > < br > Supervising Consultant | Throughout < br > project < br > implementation | < br > Presence and use of < br > PPE at the sites < br > Health and safety < br > incidents < br > Records of trainings < br > < br > < br > Records of toolbox < br > meetings < br > Presence and number < br > of first aid kits on site < br > Records of orientation < br > meetings < br > | Continuous observation < br > during field visits < br > Quarterly review of < br > training records < br > Weekly review of < br > records of toolbox < br > meetings < br > Quarterly < br > review < br > of < br > orientation records < br > | < br > NFA / PCU | 20000000 | 46", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:002287:45:1:0", "surface": "Records of toolbox", "start": 867, "end": 885, "luna": 0, "luna_split": false, "head_score": 0.05010376125574112, "extractor_score": 0.8805125951766968, "band": "confusion"}, {"key": "fcv_pads_east_africa:002287:45:1:3", "surface": "records of toolbox", "start": 1149, "end": 1167, "luna": 0, "luna_split": false, "head_score": 0.10540243238210678, "extractor_score": 0.5419214963912964, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "* 3 . 2 Social Norm Survey and Implicit Association Tests * * To measure the attitudes women face while traveling in the public space , we administer a social norm survey and IATs on a random sample of men and women commuters on the train platform . The survey includes questions on commuting behavior , stated preferences and willingness to pay to use the reserved space , perceptions about harassment and attitudes 15The estimates are generated by SuperVia transport planners , based on simulations and data from the station fare gates . 12", "n": 2, "band": "confusion", "mentions": [{"key": "prwp:000255:13:1:0", "surface": "Social Norm Survey", "start": 8, "end": 26, "luna": 0, "luna_split": false, "head_score": 0.3063100576400757, "extractor_score": 0.6811279058456421, "band": "confusion"}, {"key": "prwp:000255:13:1:1", "surface": "data from the station fare gates", "start": 505, "end": 537, "luna": 1, "luna_split": false, "head_score": 0.6791901588439941, "extractor_score": 0.9143919348716736, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland # # * * 2 . * * Ukrainian refugees in the Polish labour market # # # # # In the past year , as far as labour market integration is concerned , refugees from Ukraine improved in terms of employment and wages , yet they continue to be disproportionately skewed towards elementary occupations . They are also the group to see the fastest improvements , with the gap towards Polish citizens visibly closing across the entire wage distribution ( 2 . 1 ) . The current refugee employment rates are only slightly lower than those for Polish citizens , and median net wages are at about four-fifths of the economy as a whole , which may nevertheless be overly optimistic when compared to gross or average wages ( 2 . 2 ) . # # # # * * 2 . 1 Improving economic situation * * Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 9 . Ukrainian refugee labour status * * < sup > * * 9 * * < / sup > [ ^ 9 : These employment rates are very close to the ones from the Polish central bank surveys of Ukrainian refugees , which showed 62 % in July 2023 and 68 % in July ] * * Chart 10 . Ukrainian refugee median net wage * * < sup > * * 10 * * < / sup > [ ^ 10 : See the note on median wage estimation method in the Online Technical Appendix . ] Working age ( women 15-59 , men 15-64 ) PLN , 18-64 age group 4 , 000 69 % * * Ukrainian refugees are more likely * * * * to be employed in elementary * * * * occupations than pre-war Ukrainian * * * * migrants , non-Ukrainian foreigners , * * * * and Polish citizens , but they are * * * * also the group to have improved * * * * the most in the last two years . * * The data as of June 30 , 2024 shows that 38 % of Ukrainian refugees worked in elementary occupations ,", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:7:0:0", "surface": "Polish central bank surveys of Ukrainian refugees", "start": 1057, "end": 1106, "luna": 1, "luna_split": false, "head_score": 0.9181385040283203, "extractor_score": 0.9414927363395691, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:7:0:1", "surface": "data as of June 30 , 2024", "start": 1705, "end": 1730, "luna": 0, "luna_split": false, "head_score": 0.7344261407852173, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * CHAD Improving Learning Outcomes Project ( P175803 ) _Graph 1 : Distribution of the number of school population_ Source : ECOSIT IV 8 . * * The inefficiency of the primary education is structurally impeding the performance of the education system * * * * despite some improvements in the completion rate * * . Over the last decade , the Gross Enrollment Rate ( GER ) in the lower and upper secondary education remained quite low at 28 percent and 18 percent , on average , respectively . However , that of the primary education increased from 2011 ( 91 percent ) to 2014 ( 107 percent ) before declining progressively to 82 percent in 2017 , following the oil price shock of 2015-2016 and associated budgetary decisions at the expense of the education sector . Since 2018 , the GER started increasing again . Administrative data shows that the primary completion rate had an increasing trend over the same period ( rising from 37 percent in 2011 to 45 percent in 2020 ) , and the gender gap significantly decreased since 2018 . Nevertheless , this progress has not been sufficient to lead to a significant increase in GER in the secondary education . Repetition and dropout rates are much higher in primary education , the former being the same for both girls and boys ( 17 percent ) while the latter is 33 percent for girls and 29 percent for boys . The number of dropout children in primary school is almost twice as high than that of both lower and upper secondary school ( 725 , 795 vs . 383 , 093 for secondary school ) < sup > 6 < / sup > . This is in addition to about 48 percent of children ( 47 percent for boys and 51 percent for girls ) of primary-school age who had never attended school , yielding an out of school children rate of 52 % . Graph 2 : Gross Enrollment Rate ( GER ) and Primary Completion Rate , 2011-2020 6 ECOSIT IV , 2019 Aug 03 , 2021 Page 5 of 27", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000009:4:0:0", "surface": "ECOSIT IV", "start": 145, "end": 154, "luna": 1, "luna_split": false, "head_score": 0.8866373300552368, "extractor_score": 0.8722248673439026, "band": "keep"}, {"key": "jdc_operational:000009:4:0:1", "surface": "Administrative data", "start": 832, "end": 851, "luna": 1, "luna_split": false, "head_score": 0.9256625771522522, "extractor_score": 0.9056729078292847, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "br > Data aggregated by PIU | | * * Additional annual revenue generated by supported MSMEs ( Percentage ) * * | * * Additional annual revenue generated by supported MSMEs ( Percentage ) * * | | Description < br > Increase in the average annual revenue that is generated by supported MSMEs . | Description < br > Increase in the average annual revenue that is generated by supported MSMEs . | | Frequency < br > Annually | Frequency < br > Annually | | Data Source < br > Firm-level reporting by beneficiary MSMEs , verified by implementation partners | Data Source < br > Firm-level reporting by beneficiary MSMEs , verified by implementation partners | | Methodology for Data < br > Collection < br > Periodic surveys | Methodology for Data < br > Collection < br > Periodic surveys | | Responsibility for Data < br > Collection | Implementation partners , PIU | ~ ~ Page 38 of 55 ~ ~", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000004:41:3:0", "surface": "Data aggregated by PIU", "start": 5, "end": 27, "luna": 0, "luna_split": false, "head_score": 0.22185075283050537, "extractor_score": 0.19855791330337524, "band": "confusion"}, {"key": "refugee_pads:000004:41:3:2", "surface": "Periodic surveys", "start": 702, "end": 718, "luna": 0, "luna_split": false, "head_score": 0.07200765609741211, "extractor_score": 0.7943805456161499, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "of return , and identifying reasons for the decision to return , while also assessing the level of information returnees received pre-departure in countries of asylum in order to make a well-informed choice to return home , as well as the conditions and respect for basic rights in the country of asylum . It also assists in detecting harassment and human rights violations that will be brought to the attention of responsible authorities . UNHCR carries out * * protection assessments * * of individual cases involving persons with specific needs using a participatory approach . Home visits are carried out to assess the needs , capacities and vulnerabilities of each individual in order to respond in the most appropriate manner , in consultation with the beneficiary and his or her family . To * * enhance collaboration with other UN Agencies * * , UNHCR has signed a data sharing agreement with UN-HABITAT to complement ongoing efforts with regard to the selection of beneficiaries for the allocation of land for returnees through the Shura Programme . UNHCR has a data sharing agreement with the World Bank , which aims to strengthen existing return and protection monitoring initiatives and data analysis ; a joint report was published by the World Bank and UNHCR in early 2019 providing a detailed analysis of the situation of recent refugee returnees . < sup > 19 < / sup > UNHCR has signed a data sharing agreement with WFP to ensure food assistance to vulnerable returnees through WFP \u2019 s SCOPE program . UNHCR is in the process of developing a similar agreement with IOM to facilitate data analysis of return trends . 19 \u201c Living Conditions and Settlement Decisions of Recent Afghan Returnees \u2013 Findings from a 2018 Phone Survey of Afghan Returnees and UNHCR Data \u201d , World Bank < u > and UNHCR , February 2019 < / u > _ < u > ( pending release ) < / u > _ May 2019 9", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000170:8:1:0", "surface": "2018 Phone Survey of Afghan Returnees", "start": 1723, "end": 1760, "luna": 1, "luna_split": false, "head_score": 0.8839901685714722, "extractor_score": 0.9021915793418884, "band": "keep"}, {"key": "reliefweb:000170:8:1:1", "surface": "UNHCR Data", "start": 1765, "end": 1775, "luna": 1, "luna_split": false, "head_score": 0.8506187200546265, "extractor_score": 0.7999891042709351, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Implementation Status & Results Report Ethiopia Digital Foundations Project ( P171034 ) | People with enhanced < br > resilience to climate < br > risks \u2013 Female ( Number < br > of people ) CRI | 0 | Col3 | 5 , 811 , 000 | Col5 | 5 , 780 , 623 | Col7 | 5 , 000 , 000 | Col9 | | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | | People with enhanced < br > resilience to climate < br > risks \u2013 Female ( Number < br > of people ) CRI | Comments on < br > achieving targets | Comments on < br > achieving targets | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | Female number presumed to be proportionate to the overall digital gender divide ( using < br > data from Leverhulme Trust ) | | Number of telecom service < br > licenses awarded by ECA , < br > including class licenses < br > ( Number ) | 0 . 00 | Oct / 2019 | 4 , 462 | 30-Sep-2025 | 4 , 462 | 30-Sep-2025 | 3 . 00 | Jun / 2027 | | Number of telecom service <", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:002328:5:0:0", "surface": "data from Leverhulme Trust", "start": 654, "end": 680, "luna": 1, "luna_split": false, "head_score": 0.8590863347053528, "extractor_score": 0.8103342056274414, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "# # # * * Does Better Access to Finance Help Firms Deal with the COVID-19 * * * * Pandemic ? Evidence from Firm-Level Survey Data * * Mohammad Amin < sup > a < / sup > and Domenico Viganola < sup > b < / sup > Keywords : COVID-19 , Access to Finance , Sales , Firm performance , Pandemic JEL Codes : D22 , G00 , G10 , L23 , L25 < u > a < / u > < u > Corresponding author . Senior Economist , Enterprise Analysis Unit , DECEA , World Bank , < / u > Washington , DC . Email : < u > [ mamin @ worldbank . org ] ( mailto : mamin @ worldbank . org ) < / u > b Consultant , Enterprise Analysis Unit , DECEA , World Bank , Washington , DC . Email : < u > [ dviganola @ worldbank . org ] ( mailto : dviganola @ worldbank . org ) < / u > < u > The findings , interpretations , and conclusions expressed in this paper are entirely those of the < / u > authors . They do not necessarily represent the views of the International Bank for Reconstruction and Development / World Bank and its affiliated organizations , or those of the Executive Directors of the World Bank or the governments they represent . < mark > We thank the Enterprise Analysis Unit of the Development Economics Global Indicators < / mark > < mark > Department of the World Bank Group for making the data available . < / mark > We would like to thank Jorge Luis Rodriguez Meza and Norman Loayza for providing very helpful comments . All remaining errors are our own .", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000299:2:0:0", "surface": "Firm-Level Survey Data", "start": 107, "end": 129, "luna": 1, "luna_split": false, "head_score": 0.8739809989929199, "extractor_score": 0.8509954214096069, "band": "keep"}, {"key": "prwp:000299:2:0:1", "surface": "Development Economics Global Indicators", "start": 1149, "end": 1188, "luna": 0, "luna_split": false, "head_score": 0.7057629227638245, "extractor_score": 0.4614734351634979, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": ", 2024 shows that 38 % of Ukrainian refugees worked in elementary occupations , much more than pre-war Ukrainians ( 25 % ) , non-Ukrainian foreigners ( 18 % ) , and Polish citizens ( 10 % ) . MSNA Jul-Aug 2023 SEIS May-Jun 2024 MSNA Jul-Aug 2023 SEIS May-Jun 2024 Source : Deloitte own elaboration based on MSNA and SEIS UNHCR surveys conducted in July-August 2023 and May-June 2024 . While the share seems least favourable among Ukrainian refugees , their situation improved the most in the two years since June 30 , 2022 ( by 10 pp . compared with 9 pp . for the pre-war Ukrainians , 2 pp . for non-Ukrainian foreigners and 1 pp . for Polish citizens ) . On the other hand , in Q2 2024 , managers and specialists , the two highest paid occupational groups , comprised 8 % of both Ukrainian refugees and pre-war Ukrainians , 22 % of nonUkrainian foreigners ( who include many IT specialists and executives ) , and 28 % of Polish citizens . Their shares increased in the past two years by 3 pp . among Ukrainian refugees and pre-war Ukrainians , 2 pp . among other foreigners , and 1 pp . among Polish citizens \u2013 this data shows that though Ukrainian refugees may be largely employed in the less attractive occupational groups , they are also the fastest to progress toward more attractive professions . < sup > 11 < / sup > [ ^ 11 : Since 2021 , ZUS has been requesting information about the occupation of non-agricultural workers who first join the social insurance system ( most farmers have a separate social insurance system ) . Unfortunately , this data is not yet comprehensive , as on June 30 , 2022 , it included 4 . 8 million people , and June 30 , 2024 , 7 . 2 million ] * * Ukrainian refugees in Poland have * * * * clearly improved their economic * * * * situation over the past year . * * As indicated in chapter 1 , the share of Ukrainian refugee household incomes derived from work in Poland has increased from 74 % in the July-August 2023 MSNA survey to 76 % in the May-June 2024", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:7:1:0", "surface": "SEIS UNHCR surveys", "start": 316, "end": 334, "luna": 1, "luna_split": false, "head_score": 0.9152575135231018, "extractor_score": 0.642406165599823, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:7:1:1", "surface": "MSNA survey", "start": 1956, "end": 1967, "luna": 1, "luna_split": false, "head_score": 0.7900533676147461, "extractor_score": 0.8942750096321106, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "because of the * * * * high repetition and dropout rates * * < sup > 7 < / sup > . This is particularly important , as the primary education sector received almost half of the education spending ( 50 percent ) in 2017 , followed respectively by lower secondary ( 16 percent ) , upper secondary ( 16 percent ) < sup > 8 < / sup > . 11 . * * Despite substantial numbers of displaced and vulnerable children in the education system , their access to public * * * * schooling is limited . * * Roughly 6 , 000 students are either refugees or internally displaced , and 96 , 000 are orphans or otherwise categorized as vulnerable . The former represents only six percent of refugee children of primary school age ( 100 , 000 total children ) . < sup > 9 < / sup > Accommodating all refugee and internally displaced children would require extra resources to expand already overcrowded schools ; as well as special inclusionary measures for those children who have fallen behind in their education and require remedial attention to facilitate their integration . There are 9 , 000 reported children with a disability in school ; this constitutes 0 . 3 percent of the school population and may indicate access constraints . Indeed , approximately 1 . 5 percent of out-of-school children cite sickness or disability as the reason for not attending . < sup > 10 < / sup > 7 Rapport d \u2019 Etat du Syst\u00e8me Educatif National ( RESEN ) , 2016 8 Public Expenditure Analysis ( PER ) , 2019 9 UNHCR , Operational Data Portal . Data from May 2021 . 10 Ibid . Aug 03 , 2021 Page 6 of 27", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000009:5:1:0", "surface": "Operational Data Portal", "start": 1481, "end": 1504, "luna": 1, "luna_split": false, "head_score": 0.8621417284011841, "extractor_score": 0.8273115158081055, "band": "keep"}, {"key": "sample:jdc_operational:000009:5:1:1", "surface": "Data from May 2021", "start": 1507, "end": 1525, "luna": 0, "luna_split": false, "head_score": 0.7657461166381836, "extractor_score": 0.7970803380012512, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Burundi - Jobs and Economic Transformation Project - PRETE ( P177688 ) < u > < mark > Collection < / mark > < / u > | Number of new NBFIs connected to Bi-Switch and are interoperable within the Burundi Financial System ( Number ) | Col2 | | - - - | - - - | | Description < br > The indicator captures the number of new NBFIs that become interoperable within the Burundi Financial System by < br > connecting to Bi-Switch . | Description < br > The indicator captures the number of new NBFIs that become interoperable within the Burundi Financial System by < br > connecting to Bi-Switch . | | Frequency < br > Quarterly | Frequency < br > Quarterly | | Data Source < br > Project records | Data Source < br > Project records | | Methodology for Data < br > Collection < br > The data will be collected from the agency overseeing the Bi-Switch connection to determine the new connections to Bi - < br > Switch . A follow-up will also be conducted with NBFIs that received support from the project to connect to the Bi-Switch . | Methodology for Data < br > Collection < br > The data will be collected from the agency overseeing the Bi-Switch connection to determine the new connections to Bi - < br > Switch . A follow-up will also be conducted with NBFIs that received support from the project to connect to the Bi-Switch . | | Responsibility for Data < br > Collection < br > PIU | Responsibility for Data < br > Collection < br > PIU | | * * Guaranteed loans disbursed to MSMEs with support of the PPCG fund ( Amount [ US $ ] ) PBC * * | * * Guaranteed loans disbursed to MSMEs with support of the PPCG fund ( A", "n": 2, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000004:43:0:0", "surface": "Project records", "start": 695, "end": 710, "luna": 0, "luna_split": false, "head_score": 0.26457053422927856, "extractor_score": 0.8787546753883362, "band": "confusion"}, {"key": "sample:refugee_pads:000004:43:0:1", "surface": "Project records", "start": 732, "end": 747, "luna": 0, "luna_split": false, "head_score": 0.6239467859268188, "extractor_score": 0.8681530952453613, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "< u > RETURNS TO AFGHANISTAN IN 2018 < / u > RETURNS TO AFGHANISTAN IN 2018 * * IOM-UNHCR Collaboration * * In 2019 , UNHCR and IOM will finalize a data sharing agreement , while harmonizing all post return monitoring forms with joint reporting and analysis through an integrated dashboard . In addition , baseline data for reintegration programming and community selection will be informed by UNHCR protection monitoring and IOM \u2019 s DTM . UNHCR and IOM will jointly work on the development of key indicators for displacement and mobility monitoring tools . Further areas for joint programming will include continuing coordination efforts , advocacy and public outreach , cash , and protection referrals . # # # # Linking Return to Reintegration * * UNHCR \u2019 s Community Protection Measures ( CPMs ) * * are part of UNHCR \u2019 s multi-year strategy and focus on mitigating protection risks , both at the individual and community level . CPMs adopt an integrated community-based approach to address the protection needs and identify solutions for Pakistani refugees ( in Khost and Paktika provinces ) , refugee returnees , IDPs , and host communities while fostering social cohesion , peaceful coexistence and community resilience . CPMs are area-based and site-specific projects informed by protection monitoring , baseline socio-economic profiling , and protection risk and market analyses . This enables the design of evidence-based programming to systematically address the protection risks and immediate to short - and medium-term needs of populations of concern . In 2018 , UNHCR \u2019 s community-based protection measures supported 61 communities and over 500 , 000 individuals , both directly and indirectly , including more than 60 , 000 members of communities hosting displaced populations . * * Comprehensive Refugee Response Framework : * * In July 2018 , the Government of the Islamic Republic of Afghanistan officially announced its decision to formally support the Comprehensive Refugee Response Framework ( CRRF ) . The application of the CRRF in Afghanistan will contribute to bringing national", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000170:10:0:0", "surface": "UNHCR protection monitoring", "start": 394, "end": 421, "luna": 1, "luna_split": false, "head_score": 0.5903664827346802, "extractor_score": 0.9483257532119751, "band": "keep"}, {"key": "reliefweb:000170:10:0:1", "surface": "IOM \u2019 s DTM", "start": 426, "end": 437, "luna": 1, "luna_split": false, "head_score": 0.6621698141098022, "extractor_score": 0.8929167985916138, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "due land scarcity they donate land located or near wetlands / swamps or hill tops / cliffs which is prohibited or very expensive to utilize . The DLGs also find challenges in processing the land titles especially if is the land is under customary land tenure . Additionally , majority of existing schools planned for expansion or rehabilitation are owned by FBOs DLGs have found very difficult time in convincing these FBOs to process land titles in the names of the schools . this contributes to delayed program implementation or cancellation of sites . Therefore , MoES should work with all the relevant stakeholders like MLHUD , MoLG and prioritize , given ample time to LGs to fully exhaust the issues of land acquisition before site are selected . # # # * * 5 . 10 Special Needs Education * * 55 . While it is noted that the Government promotes inclusive and quality education , there are still challenges of a weak policy implementation , limited capacity , and skills of teachers to meet the needs of special needs learners and inadequate financing to support the effective implementation of inclusive education , for example very few teachers have been trained in sign language and reading / instructing in braille among others . There is no readily available data for learners with special needs within the districts , or data on special needs schools . Additionally , parents to children with special needs have continued denying them opportunity to education due lack of facilities to be used in aiding these children and the stigma and burden of escorting them to school . To mitigate the above risks , MoES to work closely with the Departments of Education and CBS at the DLGs to conduct Special Needs Learner tracer studies and community mobilization on information about special needs learners . * * 5 . 11 . Stakeholder Engagement * * 56 . Stakeholder engagement is most effective when initiated at an early stage of the project development process and is an integral part of early project decisions and assessment , management and monitoring of the projects \u2019 environmental and social risks and impacts . The", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:002357:55:0:0", "surface": "data for learners with special needs", "start": 1268, "end": 1304, "luna": 0, "luna_split": false, "head_score": 0.2609882056713104, "extractor_score": 0.5345869064331055, "band": "confusion"}, {"key": "fcv_pads_east_africa:002357:55:0:1", "surface": "data on special needs schools", "start": 1331, "end": 1360, "luna": 0, "luna_split": false, "head_score": 0.13633829355239868, "extractor_score": 0.9727947115898132, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "not systematic , we would risk bias in the analysis if we included only the available data . * * We use data for the 2003 to 2017 period , from Eurostat , the Organisation for Economic * * * * Co-operation and Development ( OECD ) , and * * * * _fDi Markets_ * * * * ( Financial Times ) . * * Given our empirical goal , and considering data availability constraints , we have collected the largest possible set of data at the NUTS-3 level from three main sources to cover the longest possible time period , namely from 2003 to 2017 . On economic growth and industrial structure , we use Eurostat data from the _Regio_ database on GDP , population , employment , land area , and sectoral Gross Value Added ( GVA ) \u2013 for agriculture , industry ( mining ; electricity ; manufacturing ) , construction , market services , < sup > 13 < / sup > [ ^ 13 : Wholesale and retail trade ; transport ; accommodation and food service activities ; information and communication ; financial and insurance activities ; real estate activities ; professional , scientific and technical activities ; administrative and support service activities . ] and non-market services . < sup > 14 < / sup > [ ^ 14 : Public administration and defence ; compulsory social security ; education ; human health and social work activities ; arts , entertainment and recreation ; other service activities ; activities of household and extra-territorial organisations and bodies . ] Missing values in the NUTS-3 level regional series have been filled in by linearly interpolating NUTS-2 level data . On innovation , we use microdata on patents filed under the Patent Co-operation Treaty ( PCT ) from the _REGPAT_ database provided by the OECD , aggregated at the NUTS-3 level by priority year and inventor \u2019 s residence using the fractional count criterion . On FDI , we use data on inward \u2018 greenfield \u2019 FDI from the _fDi Markets_ database provided by the Financial Times . Of particular interest for our purposes , the _fDi Markets_ database collects information on individual investment projects in terms of year , destination region at the NUTS-3 ( or city ) level", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000335:6:1:1", "surface": "NUTS-2 level data", "start": 1542, "end": 1559, "luna": 1, "luna_split": false, "head_score": 0.6800609230995178, "extractor_score": 0.790747880935669, "band": "keep"}, {"key": "prwp:000335:6:1:4", "surface": "_fDi Markets_ database", "start": 1880, "end": 1902, "luna": 1, "luna_split": false, "head_score": 0.9769012331962585, "extractor_score": 0.5117751359939575, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "in the July-August 2023 MSNA survey to 76 % in the May-June 2024 SEIS survey . < sup > 7 < / sup > This is not surprising , as the situation of Ukrainians in the Polish labour market has clearly improved . First , employment rate of working-age refugees from Ukraine has increased from 61 % to 69 % , while their unemployment rate has halved from 15 % to 8 % . Second , median net wage of Ukrainian refugees grew from PLN 3 , 100 to PLN 4 , 000 , i . e . by 29 % . While half of this wage growth came from the overall high earnings growth in the country due to high inflation ( gross wages in the general economy grew by 15 % < sup > 8 < / sup > ) , it was still a major improvement . Gross wage gains appear lower , with ZUS social insurance contributions data for the period from June 30 , 2023 and June 30 , 2024 showing an increase of 18 % ( compared to 15 % for Polish citizens ) . As of June 30 , 2024 , only 44 % of ZUS-insured Ukrainian refugees had an employment contract ( compared to 82 % of Polish citizens ) . Many may opt for civil law contracts and self-employment to limit their social insurance contributions to the level of minimum wage . 7 Together with refugees working remotely in Ukraine , their income from work would add up to 80 % in the SEIS survey . 8 From Q2 2023 to Q2 2024 , < u > https : / / stat . gov . pl / en / latest-statistical-news / communications-and-announcements / list-of-communiques-and-announcements / average - < / u > < u > gross-wage-in-the-second-quarter-2024 , 281 , 43 . html < / u > 14 9 These employment rates are very close to the ones from the Polish central bank", "n": 3, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:7:2:0", "surface": "SEIS survey", "start": 65, "end": 76, "luna": 1, "luna_split": false, "head_score": 0.8410786986351013, "extractor_score": 0.8331930637359619, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:7:2:1", "surface": "ZUS social insurance contributions data", "start": 722, "end": 761, "luna": 1, "luna_split": false, "head_score": 0.8679749369621277, "extractor_score": 0.9029814004898071, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:7:2:2", "surface": "SEIS survey", "start": 1263, "end": 1274, "luna": 1, "luna_split": false, "head_score": 0.9443325400352478, "extractor_score": 0.5109774470329285, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * CHAD Improving Learning Outcomes Project ( P175803 ) - * * Interruptions in learning are common * * . A 2019 survey indicated that 70 percent of school children aged 7-14 years experienced classroom stoppages during the school year due to teacher absence ; the other most common reasons given were strikes ( 66 percent ) and natural catastrophe ( 20 percent ) . In the 2015-16 school year , the fall in oil prices led to a sharp reduction in salary payments , resulting in the closure of one quarter of primary schools . _Figure 1 : Pupil-teacher ratio by province_ Source : Education Statistics Yearbook , 2018-2019 - * * The quality of teaching can be improved * * . Aside from the difficulties of teaching effectively to overcrowded classrooms , teachers have weak pedagogical skills and often do not master course content themselves . In a 2019 competency test , primary teachers had the second lowest score ( 421 ) in reading comprehension among 14 participating countries , and 38 percent were at Level 1 or below ( vs . 17 percent for all countries ) . In terms of the pedagogy of reading comprehension , Chad \u2019 s score was again the second lowest . With respect to mathematical competencies , primary teachers had the lowest score ( 419 ) , with 69 percent of teachers operating at Level 1 or below ( vs 35 percent for all countries ) . Pedagogical competencies in mathematics were third lowest . There was little or no difference in performance between teachers based on their years of work experience , while teachers with a university degree performed markedly better than those with a secondary diploma . < sup > 13 < / sup > [ ^ 13 : PASEC 2019 ] - * * Remedial programs for children returning to school are not fully functional * * . The Education Act No . 16 of March 2006 introduced two types of education as part of the education system to help absorb out-of-school children : a 4-year non-formal basic education program which targets children aged 9 -", "n": 3, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000009:7:0:0", "surface": "2019 survey", "start": 127, "end": 138, "luna": 1, "luna_split": false, "head_score": 0.9071849584579468, "extractor_score": 0.8965961337089539, "band": "keep"}, {"key": "sample:jdc_operational:000009:7:0:1", "surface": "Education Statistics Yearbook", "start": 598, "end": 627, "luna": 1, "luna_split": false, "head_score": 0.9362949132919312, "extractor_score": 0.8996281623840332, "band": "keep"}, {"key": "sample:jdc_operational:000009:7:0:2", "surface": "2019 competency test", "start": 867, "end": 887, "luna": 1, "luna_split": false, "head_score": 0.8197894096374512, "extractor_score": 0.11064562946557999, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "economic participation and opportunities and to 133 for educational attainment . < sup > 6 < / sup > The 2022 Global Findex Survey < sup > 7 < / sup > found 1 International Monetary Fund , 2023 . Website , accessed November 14th : imf . org / en / Countries / ETH # featured 2 Drought is the most destructive climate-related natural hazard . Through 2100 , there is a likely 20 percent increase in extreme high rainfall events . Flash floods and seasonal river floods are becoming more frequent and widespread . World Bank , 2021 , Ethiopia Climate Risk Profile . 3 This is particularly due to dependence on key sectors that are highly affected by climate change such as agriculture , water , tourism , and forestry ( World Food Programme . Ethiopia Annual Country Report 2022 ) . 4 Ethiopia Country Climate Development Report , 2023 , draft , World Bank . 5 World Bank , 2021 , Ethiopia Climate Risk Profile . 6 World Economic Forum . 2022 . Global Gender Gap Report , published July 2022 . URL : https : / / www3 . weforum . org / docs / WEF_GGGR_2022 . pdf . 7 World Bank . 2022 . The Global Findex Database 2021 : Financial Inclusion , Digital Payments , and Resilience in the age of COVID-19 . https : / / www . worldbank . org / en / publication / globalfindex # sec1 . Page 1 of 39", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000005:11:2:0", "surface": "2022 Global Findex Survey", "start": 105, "end": 130, "luna": 1, "luna_split": false, "head_score": 0.8693622946739197, "extractor_score": 0.8813515305519104, "band": "keep"}, {"key": "refugee_pads:000005:11:2:1", "surface": "Findex Database 2021", "start": 1095, "end": 1115, "luna": 1, "luna_split": false, "head_score": 0.5642267465591431, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "bien integrados y en la pr\u00e1ctica reciben protecci\u00f3n del Gobierno de China . * * 16 * * La cifra de Otros de inter\u00e9s ha sido proporcionada por el Gobierno de Colombia . En cuanto a las cifras de apatridia , en 2019 , Colombia concedi\u00f3 la nacionalidad por nacimiento a 28 . 500 ni\u00f1os de nacionalidad indeterminada nacidos en su territorio de padres venezolanos desplazados en el extranjero . Dado que esos ni\u00f1os fueron identificados como personas de nacionalidad indeterminada y se les concedi\u00f3 la nacionalidad colombiana en 2019 , esto no afect\u00f3 a las cifras comunicadas . * * 17 * * La nueva cifra de apatridia se basa en un estudio cartogr\u00e1fico realizado conjuntamente por el Gobierno y ACNUR en 2019 . * * 18 * * La cifra de retornos de desplazados internos fue publicada por las \" Commissions de mouvements de population \" y abarca el per\u00edodo comprendido entre abril de 2018 y septiembre de 2019 . * * 19 * * ACNUR est\u00e1 trabajando actualmente con las autoridades y otros agentes para determinar el tama\u00f1o de la poblaci\u00f3n que encontr\u00f3 una soluci\u00f3n eficaz en materia de nacionalidad en virtud de la Ley 169-14 . Desde la aprobaci\u00f3n de la Ley 169-14 en mayo de 2014 , la Rep\u00fablica Dominicana ha dado pasos importantes para confirmar la nacionalidad dominicana mediante la validaci\u00f3n de los certificados de nacimiento de las personas nacidas en el pa\u00eds de dos padres migrantes antes de 2007 . Seg\u00fan", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000179:75:5:0", "surface": "estudio cartogr\u00e1fico", "start": 625, "end": 645, "luna": 1, "luna_split": false, "head_score": 0.8137202858924866, "extractor_score": 0.8674812912940979, "band": "keep"}, {"key": "reliefweb:000179:75:5:1", "surface": "cifra de retornos de desplazados internos", "start": 718, "end": 759, "luna": 1, "luna_split": false, "head_score": 0.42697247862815857, "extractor_score": 0.3221701681613922, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "local governments on CERC activities . Finally , the MoH collaborated with the MoES and cultural leaders to deliver adolescent and youth friendly health services to higher education schools and communities , respectively . Some of these relationships have been established and are continuing beyond the project period . * * Fostering multisectoral * * * * action in results driven by various sectors is critical and needs to be incorporated in the project design and nurtured * * * * intentionally throughout project implementation . * * 88 . * * The successful nation-wide scale up of RBF required adequate preparatory work , including local expertise , * * * * routine analysis and sharing of program data with stakeholders . * * The investments in RBF were substantial to enable national-wide scale up of this innovation that had been implemented in Uganda as pilots since 2003 and some stakeholders were skeptical about whether this was the best use of the resources . The task team and the MoH rolled out elaborate preparatory work including sensitization of the districts , development of a harmonized national RBF framework , and training of trainers reaching over 100 , and using data from the RBF program to advocate for support to the program , and ultimately , it \u2019 s mainstreaming in the government \u2019 s own PHC grant systems as part of the UgIFT Program from July 1 , 2023 . * * Any future major innovation in RBF will benefit from robust preparatory work , including * * * * training of adequate numbers of local experts , and baseline assessment . * * 89 . * * The CERC is essential in the timely response to public health emergencies and protecting the health , health * * * * services , and the economy . * * The CERC helped to avert the EVD threat in 2019 , and to respond to the COVID-19 outbreak in 2020 . Being a novel instrument , inclusion of the CERC in the project and its subsequent activation in 2019 was challenging and was slowed by delayed buy in by key stakeholders", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:002790:39:0:0", "surface": "program data", "start": 695, "end": 707, "luna": 1, "luna_split": false, "head_score": 0.25027215480804443, "extractor_score": 0.9305710196495056, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:002790:39:0:1", "surface": "data from the RBF program", "start": 1188, "end": 1213, "luna": 1, "luna_split": false, "head_score": 0.3176894783973694, "extractor_score": 0.9776286482810974, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "these gains . We complement these findings with two addi tional exercises . The first one quantifies the role of the interaction between 7Our data combine census-based information of manufacturing sectors in Latin America , South Asia , and sub-Saharan Africa with a selected sample of countries from the Amadeus database , the selection being driven by the extent to which the size distribution portrayed in these data is comparable with the one reported in Eurostat \u2019 s Structural Business Statistics database . More details are provided in Section 4 . 8Since the Chilean manufacturing data cover the universe of manufacturing plants with 10 or more workers , we apply the same truncation to the US data to arrive at the average size of 118 workers in the US . We explain data coverage details for all countries in the data section . 9The actual estimate of the elasticity is 0 . 32 . However , we take into account that there is correlated misallocation in the US , our benchmark of efficiency . By subtracting the US \u2019 estimate of the distortion elasticity of 0 . 15 from the estimate for Chile , we reach the value of 0 . 17 . We proceed in this fashion for all of the countries . 5", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000362:6:1:1", "surface": "Structural Business Statistics database", "start": 472, "end": 511, "luna": 1, "luna_split": false, "head_score": 0.8277679085731506, "extractor_score": 0.8288359642028809, "band": "keep"}, {"key": "prwp:000362:6:1:2", "surface": "Chilean manufacturing data", "start": 566, "end": 592, "luna": 1, "luna_split": false, "head_score": 0.7707205414772034, "extractor_score": 0.8068749904632568, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland much of the heterogeneity inside of these groups . Every two years , GUS publishes information about the average wages in 128 occupational groups , with the latest data for October 2022 ( GUS , 2024a ) . When ZUS data is aggregated into these occupational groups with the assumption that wage structure remains the same as in October 2022 , the rate at which Ukrainian * * The occupational progress of * * * * Ukrainian refugees as compared to the * * * * host population may be faster than * * * * the nine main occupational groups * * * * above suggest . * * What is particularly striking is the similar pace of progress of Ukrainian refugees and pre-war Ukrainians in the nine main occupational groups presented above . However , it conceals * * Chart 12 . Ukrainian refugee wages relative to Polish citizens in the same employee-cells * * Employee cells are divided by poviat , sex , age group , and main occupational group 20 2022 Q2 2024 Q2 Note : Data are based on average social security contributions bases in employee-cells , each cell for a specific poviat , sex , age group , and main occupational group . All data are for the 01XX ZUS insurance code ( employees ) . Data for Q2 2022 encompass 6945 employee-cells of Ukrainian refugees joined with likewise cells for Polish citizens , while for Q2 2024 13477 such cells . Ukrainian refugees have been identified by PESEL UKR and Ukrainian citizenship , Poles by Polish citizenship . Source : Deloitte own elaboration based on ZUS data . refugees move to better-paid occupations becomes clearer . Between June 30 , 2022 , and June 30 , 2024 , Ukrainian refugees gained an estimated 7 % in earnings having shifted towards better paid occupations , pre-war Ukrainians 5 % , non-Ukrainian foreigners 4 % , and Polish citizens 1 % . * * Ukrainian refugees have been slowly * * * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:8:0:0", "surface": "ZUS data", "start": 282, "end": 290, "luna": 1, "luna_split": false, "head_score": 0.8661906123161316, "extractor_score": 0.8345669507980347, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:8:0:1", "surface": "ZUS data", "start": 1561, "end": 1569, "luna": 1, "luna_split": false, "head_score": 0.9706916809082031, "extractor_score": 0.5089661478996277, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "that of those of Grade 2 was 14 percent and 7 percent , respectively . The positive difference of this proportion between Grade 6 and Grade 2 students , either in PASEC 2014 ( 5 percentage points ) or PASEC 2019 ( 18 percentage points ) , highlights the potential for preschool attendance to help pursue studies up to the end of the primary education . However , unlike Grade 2 students , there is no significant difference in the performance of Grade 6 students , regardless of preschool attendance . The difference observed for Grade 2 students underscores the importance of pre-primary in improving primary students \u2019 performance , but only up to that grade-not beyond . If , despite the embryonic state of pre-primary education , such a performance can be achieved , its development through the improving of its pedagogical and learning environment , and the establishment of a strong and well-coordinated monitoring system , would result in the achievement of higher learning outcomes in the primary education . Therefore , it is necessary to have a full diagnostic of the pre-primary education to inform its expansion . 16 . * * The primary education system is not yet fully integrated around the curriculum * * . A competency-based approach was officially adopted in 2008 , and the primary curriculum has been revised accordingly . However , a recent report found that the approach has not been adequately integrated into the pre-service or in-service teacher training curriculum , with the exception of DP-financed in-service trainings for community teachers . Further , teaching-learning materials and evaluative methods are not yet fully aligned with the competency-based approach . < sup > 25 < / sup > [ ^ 25 : \u00c9valuation des Capacit\u00e9s d \u2019 Accueil et de Formation des \u00c9coles Normales d \u2019 Instituteurs bilingues ( ENIB ) et des \u00c9coles Normales Sup\u00e9rieures ( ENS ) de la R\u00e9publique du Tchad . Rapport Technique , 2020 , pp . 30 ff . ] There is also a disconnect between the curriculum \u2019 s languages of instruction and the manner in which it is delivered . The primary education system has been officially bilingual ( Arab and French ) since 1995 . However , only 10 percent of primary teachers are bilingual .", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000009:11:1:0", "surface": "PASEC 2014", "start": 163, "end": 173, "luna": 1, "luna_split": false, "head_score": 0.9156700372695923, "extractor_score": 0.8961074352264404, "band": "keep"}, {"key": "jdc_operational:000009:11:1:1", "surface": "PASEC 2019", "start": 201, "end": 211, "luna": 1, "luna_split": false, "head_score": 0.753659725189209, "extractor_score": 0.8353607058525085, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "exclusion , the registrants will have the option to present many possible official documents , including a Kebele ID or birth certificate . Any persons without either of these or other identity documents , in the last resort , would have their claimed identity vouched for by a trusted \u2018 introducer . \u2019 Funds will be used to support mass registration and issuance of physical and digital IDs to Ethiopian residents ( excluding refugees and host communities ) through registration partners , super agents , and Fayda centers as well as the establishment of permanent Fayda centers and registration partners . The project will promote the use of renewable energy by procuring solar-powered registration kits for the mass registration ( 90 million people ) . < sup > 37 < / sup > 44 . * * Subcomponent 3 . 2 \u2013 Supporting mass registration and issuance of physical IDs to Ethiopian residents in host * * * * communities and refugees ( US $ 20 million WHR ) . * * This subcomponent will support NIDP , in collaboration with UNHCR and RRS , to prioritize registration and ID issuance , through registration partner and Fayda center channels , to host communities and refugees in regions where large populations of refugees exist , namely Gambella , Somali , BenishangulGumuz , Afar , Tigray , < sup > 38 < / sup > and Amhara , as well as urban refugees in Addis Ababa . This is estimated to cover up to 1 . 7 million persons in host communities and up to 924 , 000 refugees . < sup > 39 < / sup > NIDP will work closely with RRS and UNHCR to utilize existing and upcoming initiatives for issuing and renewing refugee ID cards . This involves reusing biographic and biometric data collected by RRS through the UNHCR ProGres system for Fayda registration . NIDP will also develop registration strategies for individuals who require to be \u2018 introduced \u2019 by a witness in the absence of supporting documentation ( for example , due to", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000005:23:1:0", "surface": "biographic and biometric data", "start": 1644, "end": 1673, "luna": 1, "luna_split": false, "head_score": 0.610017716884613, "extractor_score": null, "band": "keep"}, {"key": "refugee_pads:000005:23:1:1", "surface": "UNHCR ProGres system", "start": 1703, "end": 1723, "luna": 1, "luna_split": false, "head_score": 0.8290355801582336, "extractor_score": 0.9552857875823975, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "br > 5 < br > 6 < br > 7 < br > 8 < br > 9 < br > 10 < br > 11 < br > 12 < br > 13 < br > 14 < br > 15 < br > 16 < br > 17 < br > 18 < br > 19 < br > 20 < br > 21 < br > 22 < br > 23 < br > 24 < br > 25 < br > 26 < br > 27 < br > 28 < br > 29 < br > 30 < br > 31 < br > 32 < br > 33 < br > 34 < br > 35 < br > 36 < br > 37 < br > 38 < br > 39 < br > 40 | * * < mark > Total < / mark > * * * * < mark > 580 , 109 < / mark > * * * * < mark > 840 , 876 < / mark > * * * * < mark > 1 , 420 , 985 < / mark > * * * * < mark > 45 % < / mark > * * * * < mark > 100 . 0 < / mark > * * * * < mark > 100 . 0 < / mark > * * * * < mark > 100 . 0 < / mark > * * Notes Totals differ from Table 1 due to differences in reporting of asylum data from the United States of America . See footnote in Table 1 for further details . UNHCR Asylum Trends 2014 * * 23 * *", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000195:22:3:0", "surface": "asylum data", "start": 716, "end": 727, "luna": 1, "luna_split": false, "head_score": 0.8225666880607605, "extractor_score": 0.8741970658302307, "band": "keep"}, {"key": "reliefweb:000195:22:3:1", "surface": "UNHCR Asylum Trends 2014", "start": 810, "end": 834, "luna": 1, "luna_split": false, "head_score": 0.852921724319458, "extractor_score": 0.5094258785247803, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "data . worldbank . org / ] ( https : / / data . worldbank . org / ) 4 _KNBS and ICF . 2023 . Kenya Demographic and Health Survey 2022 . _ 5 The OPCT is an individual entitlement , not household . 730 , 000 is the approximate number of households in which OPCT beneficiaries reside . 6 HSNP emergency cash transfers are triggered by external monitoring of a Vegetation Cover Index ( VCI ) through satellite data . Official Use Only", "n": 2, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:002873:4:3:0", "surface": "Kenya Demographic and Health Survey", "start": 93, "end": 128, "luna": 1, "luna_split": false, "head_score": 0.8665545582771301, "extractor_score": 0.8168603181838989, "band": "keep"}, {"key": "fcv_pads_east_africa:002873:4:3:1", "surface": "satellite data", "start": 396, "end": 410, "luna": 1, "luna_split": false, "head_score": 0.7651634812355042, "extractor_score": 0.38463184237480164, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "levels of inflation , a reasonable concern is that even small errors in CPI data , when compounded over decades , can have potentially large effects on the estimated value of the IPL . < sup > 5 < / sup > [ ^ 5 : Gimenez and Jolliffe ( 2014 ) document significant discrepancies in Bangladesh between the official CPI and alternative measures of inflation . ] One might assume that national CPI data are used to update the values of the national poverty lines from the time of fieldwork to 2011 , but this is not the case for three of the 15 countries . Ferreira _et al_ . note that in the case of Ghana , Malawi , and Tajikistan , there were significant concerns about the CPI data , and for this reason , household survey data are instead used to construct a temporal deflator ( typically from unit values ) . While the decision to doubt the quality of the CPI as a measure of inflation for the poor may be justified , it is important to recognize that it has a nontrivial effect on the global count of poor . For example , if using national CPI reported in World Development Indicators ( WDI ) instead of alternative measures of inflation for Ghana , Malawi and Tajikistan when converting the RCS lines from 2005 to 2011 PPPs , the IPL would drop by 20 cents , which would result in more than 200 million people being reclassified as not poor . < sup > 6 < / sup > [ ^ 6 : A poverty line of $ 1 . 70 , which was an early estimate of the updated IPL by Jolliffe and Prydz ( 2015 ) , produces a global headcount for 2012 of 692 million , compared to 897 million for the $ 1 . 90 . ] Basing the IPL on more recent national lines would reduce the demands placed on inflation data and reduce this sensitivity . While this discussion of inflation is linked to the 15 countries that support the IPL , the need for inflation data holds for all countries in the global poverty count . Household survey data values need to be updated from the time of survey field work", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000369:6:0:4", "surface": "inflation data", "start": 1663, "end": 1677, "luna": 0, "luna_split": false, "head_score": 0.5773683190345764, "extractor_score": 0.5629432797431946, "band": "keep"}, {"key": "prwp:000369:6:0:6", "surface": "Household survey data", "start": 1878, "end": 1899, "luna": 1, "luna_split": false, "head_score": 0.7013000249862671, "extractor_score": 0.41064658761024475, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland # # # # * * 2 . 2 Current occupational situation * * Analysis of the impact of refugees from Ukraine on the economy of Poland Administrative ZUS data can be used as a proxy for both average and _gross_ earnings percentages . On June 30 , 2024 , average bases for social contributions of Ukrainian refugees accounted for just 64 % of those of Polish citizens . However , this is only relative to Polish citizens not all workers in the economy as a whole , and comes with other caveats of administrative instead of survey data sources \u2013 data given on a particular day instead of period average , the shadow economy unaccounted for , different contributions based on the type of contract , no data for farmers who belong to a separate social insurance scheme . Also , the ZUS data , that is available , is much more limited that the SEIS survey data primarily used in this report . * * Ukrainian refugees in Poland have * * * * clearly improved their economic * * * * situation over the past year . * * In the 15-59 / 64 age group , employment rate of Polish citizens stood at 75 % in Q2 2024 according to Eurostat , slightly more than the 69 % for Ukrainian refugees in the SEIS 2024 survey and 73 % when adjusted for a different sex and age structure . In the 15-64 age group , the employment rate of Ukrainian male refugees was 67 % while that of Polish citizens in Q2 2024 was 77 % . For women , the rates for Ukrainian refugees and Polish citizens are closer in the 15-59 age group ( female retirement age in Poland is 60 ) with 70 % for refugees and 72 % for Poles . Visible differences are identified in 15-19 and 20-24 age groups , with much higher employment rates for Ukrainian refugees due perhaps to the fact that the Ukrainian school system ends at 17 while the Polish one at 19 . < sup > 13", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:9:0:0", "surface": "Administrative ZUS data", "start": 199, "end": 222, "luna": 1, "luna_split": false, "head_score": 0.6739224195480347, "extractor_score": 0.7865821719169617, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:0:1", "surface": "ZUS data", "start": 842, "end": 850, "luna": 1, "luna_split": false, "head_score": 0.8479669690132141, "extractor_score": 0.8075651526451111, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:0:2", "surface": "SEIS survey data", "start": 903, "end": 919, "luna": 1, "luna_split": false, "head_score": 0.8714964389801025, "extractor_score": 0.9173209071159363, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:0:3", "surface": "SEIS 2024 survey", "start": 1245, "end": 1261, "luna": 1, "luna_split": false, "head_score": 0.9446390271186829, "extractor_score": 0.9113059639930725, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": ", community teacher census < br > and < br > digital < br > personnel < br > dossier ; < br > strengthening of salary payment < br > system | IT equipment and materials | 27 . The Project will also finance technical assistances capacity strengthening as well as critical equipment and materials to ensure that relevant MENPC departments are able to implement and monitor the project activities effectively , including the department in charge of education management and information system ( EMIS ) and the learning assessment unit * * Subcomponent 4 . 2 : Project management , Monitoring and Evaluation * * 28 . This subcomponent will finance monitoring , research and evaluation activities . All training activities will be monitored during delivery , covering participation , logistics and quality . Monitoring of civil works and the installation of covered spaces will include third-party site monitoring combined with community monitoring using technology ( such as tablets and smartphones ) to provide regular , real-time updates on progress . The same technology will be deployed to support the remote iterative beneficiary monitoring of other project activities , including school - and local-level activities to promote effective pedagogy , the use of covered spaces , remedial teaching of children returning to school , and the availability of textbooks and supplementary reading materials . The project will also finance research and capacity building ( i ) to assess system coverage and performance , including at least one national sample-based survey of learning outcomes ; ( ii ) to better understand and address the scope and causes of children being out of school ; ( iii ) to undertake a study on the quality of Early Childhood Education ( ECE ) aiming at providing information for the revision of the preschool program and its alignment with the primary education curriculum , and for the establishment of minimum quality standards in this sub-sector ; and ( iv ) to determine the feasibility of integrating formal curricular standards pertaining to literacy and numeracy into Quranic school education . 29 . * * There will be five evaluations . * * Effectiveness of the in-service training program will", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000009:23:1:0", "surface": "community teacher census", "start": 2, "end": 26, "luna": 0, "luna_split": false, "head_score": 0.2811167538166046, "extractor_score": 0.9608295559883118, "band": "confusion"}, {"key": "jdc_operational:000009:23:1:1", "surface": "national sample-based survey of learning outcomes", "start": 1536, "end": 1585, "luna": 0, "luna_split": false, "head_score": 0.05866813287138939, "extractor_score": 0.9706013798713684, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Ethiopia Digital ID for Inclusion and Services Project ( P179040 ) * * Monitoring & Evaluation Plan : Intermediate Results Indicators by Components * * | Building institutions and trust | Col2 | | - - - | - - - | | * * ID institution is established ( Yes / No ) * * | * * ID institution is established ( Yes / No ) * * | | Description | The regulation establishing an institution to implement the powers and responsibilities of the < br > Digital Identification System stipulated in the Proclamation 1284 / 2023 is adopted . | | Frequency | Annual | | Data source | Federal Negarit Gazette | | Methodology for Data Collection | Project progress report | | Responsibility for Data Collection | NIDP | | * * Proportion of population satisfied with Fayda services ( Percentage ) ( Percentage ) * * | * * Proportion of population satisfied with Fayda services ( Percentage ) ( Percentage ) * * | | Description | The percentage of people who rated the different Fayda services they have received as \u2018 satisfied < br > and \u2018 very satisfied \u2019 out of a sample of the population that has registered to Fayda in a given < br > month or year | | Frequency | Annual | | Data source | Survey via Fayda GRM system | | Methodology for Data Collection | Project progress report | | Responsibility for Data Collection | NIDP | | * * Proportion of complaints resolved successfully ( Percentage ) * * | * * Proportion of complaints resolved successfully ( Percentage ) * * | | Description | The percentage of complaints submitted in the GRM that have been satisfactorily resolved out of < br > the total complaints received | | Frequency | Annual | | Data source | Fayda GRM system | | Methodology for Data Collection | Project progress report | | Responsibility for Data Collection | NI", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000005:40:0:0", "surface": "Federal Negarit Gazette", "start": 589, "end": 612, "luna": 1, "luna_split": false, "head_score": 0.45713427662849426, "extractor_score": 0.920286238193512, "band": "confusion"}, {"key": "refugee_pads:000005:40:0:1", "surface": "Survey via Fayda GRM system", "start": 1195, "end": 1222, "luna": 0, "luna_split": false, "head_score": 0.7300156354904175, "extractor_score": 0.9130904674530029, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "# # # PROTECTION ANALYSIS UPDATE \u2013 Q2 # # # # 3 . 6 Mine Action The HH survey revealed that a majority ( 86 % ) lack awareness about mines and other explosives . However , KII findings reported the opposite wherein 42 % confirmed awareness . Key effects of mines reported by those who had awareness or information are primarily related to access , in particular safety for children when playing ( 33 % ) , and children not being able to go to school ( 22 % ) , while others reported concerns on , people not being able to access services ( 16 % ) , effects on livelihood such as cannot graze ( 14 % ) , and household chores such as collecting water ( 13 % ) . DRC has conducted Rapid Protection Assessment ( RPA ) in Kandahar province in February 2021 , which revealed that IDPs reported that all of their orchards , streets and main routes have been contaminated with dangerous IEDs ( improvised explosive devices ) in their area of origin ( AoO ) i . e . Panjwaye , Arghandab , and Zhari districts of Kandahar province . During RPA in Ghazni Province in May 2021 , IDPs reported Explosive Remnants of War ( ERW ) and mines on the way from Qarabagh district to displaced location ( Saqafat Islamia ) . They reported that these were placed by Armed Opposition Groups ( AoGs ) . They further reported that they are unaware of mine placements , therefore , were very scared en route to displacement locations . During another RPA in Ghazni province in June , IDPs reported landmines on the main route from Khawaja Omari district to displaced locations , placed by AOGs . IDPs further reported ERWs and mines in Nawabad village ( area of displacement ) . They reported that these were placed by AOGs . They further specified that mines are handmade . Men reported that they are aware of mines and take necessary precautions , but women and children are unaware", "n": 2, "band": "keep", "mentions": [{"key": "sample:reliefweb:000210:18:0:0", "surface": "HH survey", "start": 68, "end": 77, "luna": 1, "luna_split": false, "head_score": 0.8656041622161865, "extractor_score": 0.9590582251548767, "band": "keep"}, {"key": "sample:reliefweb:000210:18:0:1", "surface": "KII findings", "start": 172, "end": 184, "luna": 1, "luna_split": false, "head_score": 0.8759889006614685, "extractor_score": 0.9184543490409851, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": ". * * Coordinated , community-linked interventions can reduce barriers to education for * * * * marginalized groups . * * IERCs combined with itinerant teacher training and community outreach increased enrollment of children with special needs , while gender clubs in emerging regions supported girls ' retention and were replicated beyond program schools . These experiences showed that structured approaches linking education authorities , families , and service providers \u2014 supported by capacity-building and awareness-raising \u2014 can meaningfully improve access and retention for the most excluded learners . * * 12 . Assessment Recommended ? * * No * * 13 . Comments on Quality of ICR * * * * Quality of Evidence . * * Evidence provided in the ICR was drawn from systematically collected administrative and monitoring data , including strengthened national systems such as EMIS , textbook tracking , national and earlygrade assessments , and school inspections . Achievement of DLI / DLR targets was independently validated , enhancing the credibility of reported results . The ICR appropriately triangulated project monitoring data with external sources , including the World Bank \u2019 s 2025 Global Education Policy Dashboard for Ethiopia . While some indicators in the ICR \u2019 s results framework lacked baseline , target , or achievement values , this information was available elsewhere in project documentation , including the ICR \u2019 s Efficacy section , the PAD , restructuring Page 24 of 25", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:002925:23:1:1", "surface": "project monitoring data", "start": 1112, "end": 1135, "luna": 0, "luna_split": false, "head_score": 0.20569242537021637, "extractor_score": 0.9079198241233826, "band": "confusion"}, {"key": "fcv_pads_east_africa:002925:23:1:2", "surface": "2025 Global Education Policy Dashboard", "start": 1189, "end": 1227, "luna": 1, "luna_split": false, "head_score": 0.5873463749885559, "extractor_score": 0.9453783631324768, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "sector in each country is then the sum of all utilities \u2019 subsidies in that country . Nine countries represented in the IBNET database are estimated to have a negative subsidy . Most of these are developed countries , where efficiency may be pushed beyond the level assumed in the Chilean model . < sup > 24 < / sup > Where this is the case , subsidies are assumed to be zero . * * 3 . 10 Estimating the subsidies for countries not in IBNET * * To extrapolate subsidy estimates to countries not included in the database , we first separate out China and India , while the remaining countries are grouped into four clusters \u2014 high income , upper middle income , lower middle income , and low income \u2014 based upon the World Bank \u2019 s country classifications by income for fiscal year 2019 . Next , for water and sanitation separately , we calculate an average subsidy per person served for countries with representation in IBNET , disaggregated into the four clusters ( see Appendix B ) . Then , for countries not in the IBNET database , we multiply the per person subsidy for its cluster by the total population served by the respective service ( estimated by multiplying the country \u2019 s coverage rate < sup > 25 < / sup > [ ^ 25 : Water and / or sanitation coverage data from the World Health Organization / United Nations Children \u2019 s Fund for 3 countries ( Austria , Isle of Man , and Micronesia ) , in addition to the 6 previously cited with partial IBNET data , were incomplete , and were thus supplemented by additional data and estimates . Refer to Appendix B for details . ] and its total population ) . Since the main drivers for these estimates are the unit cost in the asset base calculations , the results presented in the report assume a + / - 10 percent variation in the unit asset base estimates . 22 China and India were not extrapolated due to low proportional representation in IBNET and a general lack of data availability . 23 Water and / or sanitation coverage data for 6 countries ( Bahrain , Fiji , Indonesia ,", "n": 3, "band": "keep", "mentions": [{"key": "sample:prwp:000381:14:2:0", "surface": "IBNET database", "start": 120, "end": 134, "luna": 1, "luna_split": false, "head_score": 0.9528830647468567, "extractor_score": 0.811514139175415, "band": "keep"}, {"key": "sample:prwp:000381:14:2:1", "surface": "Water and / or sanitation coverage data", "start": 1229, "end": 1268, "luna": 1, "luna_split": false, "head_score": 0.8835128545761108, "extractor_score": 0.6896092891693115, "band": "keep"}, {"key": "sample:prwp:000381:14:2:2", "surface": "Water and / or sanitation coverage data", "start": 1944, "end": 1983, "luna": 1, "luna_split": false, "head_score": 0.902207612991333, "extractor_score": 0.5896502137184143, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Poles . Visible differences are identified in 15-19 and 20-24 age groups , with much higher employment rates for Ukrainian refugees due perhaps to the fact that the Ukrainian school system ends at 17 while the Polish one at 19 . < sup > 13 < / sup > [ ^ 13 : Children in Ukraine start school at 6 years of age , while in Poland at 7 . School system lasts for 11 years in Ukraine and 12 years in Poland . After recent reform , Ukrainian children who started school in or after 2018 will receive 12 years of schooling . ] However , employment rates drop for Ukrainian female refugees in the 25-29 , 30-34 , and 35-39 age groups when compared to younger and older groups , as well as to Polish women , which may be due to insufficient access to childcare services . Employment rates for Ukrainian female refugees are also substantially lower in the 55-59 age group , perhaps due to the fact that female retirement age in Ukraine has only recently ( in 2021 ) become 60 . < sup > 14 < / sup > [ ^ 14 : < u > https : / / www . social-protection . org / gimi / gess / Media . action ; jsessionid = U1dm6XAPF38pPk5_pzhfaGoS_rOACMDDVv4w5uevMsKBeQEC5-_g ! 284293951 ? id = 15680 < / u > 15 Percentage calculated based on GUS average for the economy as a whole in the months of the SEIS survey . ] * * With the current level of integration * * * * of Ukrainian refugees into the labour * * * * market and the jobs they perform , * * * * their median net earnings are about * * * * four-fifths of the national median * * * * \u2013 although likely lower in terms of * * * * average or gross earnings . * * The median net earnings of Ukrainian refugees in Q2 2024 were PLN 4 , 000 in SEIS , and PLN 3 , 767 in NBP ( 2024 ) surveys . This is 84 % and 79 % of the national median , respectively . This estimate would be most likely lower , if data allowed us to look at", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:9:1:0", "surface": "SEIS survey", "start": 1272, "end": 1283, "luna": 1, "luna_split": false, "head_score": 0.864205539226532, "extractor_score": 0.8958379030227661, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:1:1", "surface": "NBP ( 2024 ) surveys", "start": 1693, "end": 1713, "luna": 1, "luna_split": false, "head_score": 0.8808073997497559, "extractor_score": 0.8400737643241882, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Beirut Housing Rehabilitation and Cultural and Creative Industries Recovery ( P176577 ) * * I . * * * * STRATEGIC CONTEXT * * * * A . Country Context * * * * 1 . * * * * On August 4 , 2020 , a massive explosion at the Port of Beirut ( PoB ) devastated the city , killing at least 217 * * * * people , wounding more than 6 , 000 and displacing around 300 , 000 individuals . * * The explosion caused widespread destruction to homes , businesses , infrastructure , and disrupted economic activity . In the immediate aftermath of the blast , a Rapid Damage and Needs Assessment ( RDNA ) was undertaken to estimate the impact of the disaster on the population , changes in economic flows , physical assets , infrastructure , and service delivery in Beirut . Total damages were estimated between US $ 3 . 8-4 . 6 billion , with the housing and culture sectors as the most severely affected . Losses were estimated at US $ 2 . 9-3 . 5 billion , with the housing sector being the hardest hit , followed by the transport and port sector , and the culture sector . < sup > 1 < / sup > [ ^ 1 : World Bank Group ; European Union ; United Nations . 2020 . Beirut Rapid Damage and Needs Assessment . World Bank , Washington , DC . \u00a9 World Bank . - https : / / openknowledge . worldbank . org / handle / 10986 / 34401 ] A WBG survey of citizens \u2019 perceptions conducted immediately after the explosion found that the population in Zone 1 ( the Port and surrounding areas most affected by the blast ) and Zone 2 ( Ashrafieh ) expressed the need for housing support above other needs . < sup > 2 < / sup > [ ^ 2 : World Bank-administered survey conducted for 3 , 000 online respondents a little over week after the explosion ] * * 2 . * * * * The PoB explosion has exacerbated the impact of Lebanon \u2019 s pre-existing economic and financial crisis . * * During 2011-17 (", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000012:11:0:1", "surface": "WBG survey of citizens \u2019 perceptions", "start": 1331, "end": 1367, "luna": 1, "luna_split": false, "head_score": 0.6756505370140076, "extractor_score": 0.9578332901000977, "band": "keep"}, {"key": "jdc_operational:000012:11:0:2", "surface": "World Bank-administered survey", "start": 1620, "end": 1650, "luna": 1, "luna_split": false, "head_score": 0.8849120736122131, "extractor_score": 0.9351045489311218, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "have been satisfactorily resolved out of < br > the total complaints received | | Frequency | Annual | | Data source | Fayda GRM system | | Methodology for Data Collection | Project progress report | | Responsibility for Data Collection | NIDP | | * * Establishing scalable and secure Fayda ICT infrastructure * * | * * Establishing scalable and secure Fayda ICT infrastructure * * | | * * Proportion of up-time ( over a one-year period ) for the registration module of the ID system ( Percentage ) ( Percentage ) * * | * * Proportion of up-time ( over a one-year period ) for the registration module of the ID system ( Percentage ) ( Percentage ) * * | | Description | The proportion of time that the Fayda registration module is available and working over a one - < br > year period | | Frequency | Annual | | Data source | Fayda system KPI | | Methodology for Data Collection | Fayda data analytics platform | | Responsibility for Data Collection | NIDP | | * * Number of penetration tests conducted to prevent cyber-attacks and loss of data ( Number ) * * | * * Number of penetration tests conducted to prevent cyber-attacks and loss of data ( Number ) * * | | Description | At least 4 penetration tests conducted each year during the 5-year project duration , intended to < br > proactively identify and address gaps in security ( cyber and physical ) of personal data to prevent < br > unauthorized access to or loss of data . | | Frequency | Annual | | Data source | Test reports by specialized firms | | Methodology for Data Collection | Project progress report | | Responsibility for Data Collection | NIDP | | * * Inclusive and sustainable ID issuance * * | * * Inclusive and sustainable ID issuance * * | | * * Percentage of population", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000005:40:1:0", "surface": "Fayda GRM system", "start": 119, "end": 135, "luna": 0, "luna_split": false, "head_score": 0.25929710268974304, "extractor_score": 0.8663935661315918, "band": "confusion"}, {"key": "refugee_pads:000005:40:1:1", "surface": "Fayda system KPI", "start": 826, "end": 842, "luna": 0, "luna_split": false, "head_score": 0.27702003717422485, "extractor_score": 0.8345599174499512, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "/ / PGRN 2023 Standardized methodology / / # # # # # # ANNEX 1 STANDARDIZED METHODOLOGY IDENTIFYING AND ESTIMATING THE NUMBER OF REFUGEES IN NEED OF RESETTLEMENT AND UNHCR CAPACITY Pursuant to UNHCR \u2019 s priority to use resettlement as a protection tool and as part of a comprehensive durable solutions strategy , UNHCR Country Offices undertake a yearly exercise of proactive planning for resettlement as an integral part of the planning process . They forecast refugee resettlement needs in the next calendar year . Each Office is required to report the actual resettlement needs and , where applicable , involving the strategic use of resettlement . In addition to the Operations Plans for 2023 , UNHCR Country Offices \u2019 Summary Protection Assessments , which outline the core protection problems currently affecting UNHCR \u2019 s populations of concern , provide important information to assist with forward planning , especially with regard to the challenges and opportunities to promote resettlement , scope for working with partners , staffing and resources , and making effective use of resettlement tools such as the standard operating procedures , proGres , participatory assessments , and other ways to identify refugees at heightened risk . Generally , the methodologies used are underpinned by a few basic principles . First , the estimation of the number of refugees in need of resettlement depends on the quality of registration data . The estimated needs for resettlement are primarily based on the data available in proGres . < sup > 1 < / sup > [ ^ 1 : proGres is UNHCR \u2019 s refugee registration platform . ] Additionally , government registration records \u2013 where available \u2013 or World Food Programme ( WFP ) food distribution databases are used to inform decisions about the needs . Second , in addition to making effective use of proGres and other data sources , the projection of resettlement needs is derived from information gathered during participatory assessments with refugees and other interactions with persons of concern , such as needs assessment surveys , e . g . using the Heightened Risk Identification Tool ( HRIT ) . < sup > 2 < / sup > 1 proG", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000214:47:0:0", "surface": "registration data", "start": 1426, "end": 1443, "luna": 1, "luna_split": false, "head_score": 0.579877495765686, "extractor_score": 0.7480107545852661, "band": "keep"}, {"key": "reliefweb:000214:47:0:3", "surface": "government registration records", "start": 1636, "end": 1667, "luna": 1, "luna_split": false, "head_score": 0.8794962763786316, "extractor_score": 0.9515127539634705, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Ethiopia : SME Finance Project ( P148447 ) ICR DOCUMENT thriving ( e . g . , an owner might use personal savings to avoid default ) . While the initial framework lacked gender-disaggregated indicators . , it allowed for adding the same during additional financing recording adaptability . The inclusion of _Portfolio at Risk ( PaR ) _ was a notable strength , as a low PaR served as a useful proxy for the success of the financed enterprises . While the focus on easily quantifiable outputs like the number of loans and Business Development Services ( BDS ) recipients allowed for efficient and uncomplicated progress monitoring , the simplicity came at the cost of depth . A major strength of the overall M & E plan was the decision from the outset to commission a formal impact evaluation . This foresight compensated for the weaknesses in the routine results framework . * * M & E Implementation * * * * 66 . * * * * The project had a strong monitoring system , designed and implemented by the EP consulting firm * * . At the start of the project , it was recognized that DBE had no reporting process for identifying non-paying leases . < sup > 24 < / sup > [ ^ 24 : Enterprise Partners , Small and Medium Enterprises Finance Project ( SMEPF ) Technical Assistance Facility Closure Report , Sept . 2020 , p . 25 . ] EP assisted DBE in developing a reporting format whereby Head Office would receive the needed information from the districts . DBE \u2019 s progress in portfolio reporting and monitoring and its arrears and NPL status were tracked in Quarterly Monitoring Reports beginning in November 2017 , which also monitored DBE \u2019 s use of the SMEFP facility . These reports were shared with the WB and senior management of the DBE . EP also produced quarterly leasing and working capital insight reports . < sup > 25 < / sup > [ ^ 25 : Enterprise Partners , SMEPF Technical Assistance Facility Closure Report , Sept . 2020 , pp . 53-4 . ] These reports provided an overview of disbursement status both in terms of monetary value and", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:003027:26:0:0", "surface": "Quarterly Monitoring Reports", "start": 1571, "end": 1599, "luna": 0, "luna_split": false, "head_score": 0.48830685019493103, "extractor_score": 0.9128285646438599, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:003027:26:0:1", "surface": "quarterly leasing and working capital insight reports", "start": 1776, "end": 1829, "luna": 0, "luna_split": false, "head_score": 0.17390675842761993, "extractor_score": 0.9305948615074158, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "were about 9 percent higher in the Bureau of Economic Analysis data relative to the data of the Bureau of Labor Statistics . In addition , they find that the two data series consistently grew apart from 1992 to 2000 . As underlined by Garner and Short ( 2001 ) , the reason for this mismatch may be that respondents in both cases have mistaken and biased ideas about the market values of their dwellings or that the reported rental equivalence values are likely to be capturing variations in housing and neighborhood quality that hedonic approaches do not capture . Corradin , Fillat , and Vergara-Alert 2017 make an argument that is similar to the latter point . Moreover , owners may express above-market evaluations of their dwellings because of a special attachment for specific features of their homes , especially if they designed or built the homes . Heston and Nakamura ( 2009 ) call this the owner pride factor . Van der Cruijsen , Jansen , and van Rooij ( 2018 ) provide a review of possible behavioral reasons beyond the bias of homeowner valuations . They compare the self-assessed homeowner valuations with appraisals of the same housing administrated by the municipality to which the housing belongs for tax purposes . They find that the median respondent overestimates the true value by 11 percent . Sometimes , the same survey supplies enough information to check the accuracy of homeowner selfassessments . Van der Cruijsen , Jansen , and van Rooij ( 2018 ) and Gao and Liang ( 2019 ) compare the two sets of values reported by respondents in , respectively , the DNB Household Survey in the Netherlands and the China Household Finance Survey : the self-assessed current value and the purchase price for the same dwelling , which is updated using an evaluation of the fluctuations in housing prices in the same neighborhood or region over time . Both contributions find that households systematically overestimate their home values . Ben\u00edtez-Silva et al . ( 2015 ) exploit the longitudinal panel structures of the Health and Retirement Study and the American Housing Survey", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000383:6:0:0", "surface": "Bureau of Economic Analysis data", "start": 35, "end": 67, "luna": 1, "luna_split": false, "head_score": 0.8929209113121033, "extractor_score": 0.8143100738525391, "band": "keep"}, {"key": "prwp:000383:6:0:3", "surface": "China Household Finance Survey", "start": 1629, "end": 1659, "luna": 1, "luna_split": false, "head_score": 0.8220540881156921, "extractor_score": 0.9138698577880859, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "earned by Ukrainian refugees than the general population . UNHCR ( 2025b ) , using a different method than the one in this report , estimated average instead of median net wages based on the SEIS data . The average net wage of a Ukrainian refugee they arrived at was PLN 4 , 214 , only slightly higher than calculated above . This would yield 72 % of the national average net wage . < sup > 15 < / sup > Average is not used here , because median is more relevant for discussing economic impact , as it is not disrupted by bottom or top earnings . Furthermore , there are no outside estimates to compare it to . Second , as discussed previously , there are much fewer Ukrainian refugees with employment contracts than Poles , and this lowers their social contributions and thus gross earnings . Unfortunately , there is no such data available , as both SEIS and NBP ( 2024 ) measure only net earnings . * * Chart 13 . Polish citizens and Ukrainian refugees \u2019 employment rates by age group * * Male Female * * Chart 14 . Ukrainian refugee median net wage estimates in Q2 2024 * * Monthly net wage ( PLN ) Percengate of all workers total economy average 84 % UNHCR NBP UNHCR NBP 15 May - 24 June 2024 6 May - 5 July 2024 15 May - 24 June 2024 6 May - 5 July 2024 Source : Deloitte own elaboration based on SEIS survey , NBP ( 2024 ) survey . Monthly GUS median wage in the general economy has been recalculated to reflect the specific time periods of SEIS UNHCR and NBP ( 2024 ) surveys . Source : Deloitte own elaboration based on Eurostat Labour Force Survey data SEIS UNHCR survey conducted in May and June 2024 . For Polish citizens reference period is Q2 2024 . Polish citizens Ukrainian refugees * * The wages of Ukrainian refugees are * * * * higher for men than women , but the * * * * gap is not wider than in the economy * * *", "n": 6, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:9:2:0", "surface": "SEIS data", "start": 191, "end": 200, "luna": 1, "luna_split": false, "head_score": 0.9672076106071472, "extractor_score": 0.8528825044631958, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:2:1", "surface": "SEIS", "start": 852, "end": 856, "luna": 1, "luna_split": false, "head_score": 0.9629273414611816, "extractor_score": 0.4695698618888855, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:2:2", "surface": "SEIS survey", "start": 1303, "end": 1314, "luna": 1, "luna_split": false, "head_score": 0.9802417755126953, "extractor_score": 0.6970993876457214, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:2:3", "surface": "NBP ( 2024 ) survey", "start": 1317, "end": 1336, "luna": 1, "luna_split": false, "head_score": 0.9297701716423035, "extractor_score": 0.6981026530265808, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:2:4", "surface": "Eurostat Labour Force Survey data", "start": 1529, "end": 1562, "luna": 1, "luna_split": false, "head_score": 0.9659134745597839, "extractor_score": 0.8007066249847412, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:9:2:5", "surface": "SEIS UNHCR survey", "start": 1563, "end": 1580, "luna": 1, "luna_split": false, "head_score": 0.9425716996192932, "extractor_score": 0.7291839122772217, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Beirut Housing Rehabilitation and Cultural and Creative Industries Recovery ( P176577 ) | Col1 | project will undertake < br > proactive efforts to < br > communicate the service < br > standard to address and < br > respond to feedback that < br > will be received . | Col3 | Col4 | mechanism | Col6 | | - - - | - - - | - - - | - - - | - - - | - - - | | Beneficiaries reporting satisfaction with < br > project activities < br > | Percentage of beneficiaries < br > in component 1 satisfied < br > with project application , < br > grant disbursement , < br > implementation , and < br > technical support . < br > Beneficiaries in component < br > 2 reporting improved < br > community cohesion , < br > enhanced social inclusion , < br > and neighborhood < br > revitalization . < br > The findings of these < br > surveys will be published < br > and / or that the survey < br > findings will be used by the < br > implementing entity to < br > generate an action plan to < br > address the feedback < br > acquired through the < br > surveys . | At mid - < br > point of < br > project and < br > project < br > closure < br > | The scope of < br > the GRM will < br > include < br > complaints < br > and other < br > types of < br > feedback < br > such as < br > suggestions , < br > queries ( e . g . < br > Quality of < br > Life < br > Survey ) and < br > compliments < br > | A survey will be carried < br > out with direct < br > beneficiaries of the < br", "n": 2, "band": "confusion", "mentions": [{"key": "sample:jdc_operational:000012:46:0:0", "surface": "surveys", "start": 841, "end": 848, "luna": 0, "luna_split": false, "head_score": 0.10278595238924026, "extractor_score": 0.8816656470298767, "band": "confusion"}, {"key": "sample:jdc_operational:000012:46:0:1", "surface": "surveys", "start": 1062, "end": 1069, "luna": 0, "luna_split": false, "head_score": 0.11473313719034195, "extractor_score": 0.8801887631416321, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": ", and information about < br > the systems developed on its website , which is constantly being updated at https : / / id . gov . et / . < br > \u25cf The website contains frequently asked questions that address the risks related to some < br > misconceptions . < br > \u25cf NIDP organized a series of stakeholder consultations with civil society organizations , human and digital < br > rights groups , and legislative and executive wings of the Government among others during 2021 \u2013 23 . < br > The program will be able to further expand these activities once the project is operational , notably < br > further engaging with communities and local leaders . < br > \u25cf Based on the registrant \u2019 s request , all logs and audit trails of the user \u2019 s personal data and their < br > authentication history can be accessed and / or deleted . There are also facilities for the user to lock < br > their personal data so that it cannot be used for authentication . | Page 37 of 39", "n": 2, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000005:47:2:0", "surface": "personal data", "start": 740, "end": 753, "luna": 0, "luna_split": false, "head_score": 0.23586192727088928, "extractor_score": null, "band": "confusion"}, {"key": "sample:refugee_pads:000005:47:2:1", "surface": "personal data", "start": 889, "end": 902, "luna": 0, "luna_split": false, "head_score": 0.1359000951051712, "extractor_score": 0.1299138367176056, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "# # # LIST OF ACRONYMS * * Conpes * * National Council for Economic and Social Policy ( El Consejo Nacional de Pol\u00edtica Econ\u00f3mica y Social ) * * CNAIPD * * National Council for Comprehensive Assistance to People Displaced by Violence ( Consejo Nacional para la Atenci\u00f3n Integral a la Poblaci\u00f3n Desplazada por la Violencia ) * * DNP * * National Department of Planning ( Departamento Nacional de Planeaci\u00f3n ) * * EHA * * Emergency Humanitarian Assistance * * FNR * * National Fund of Perquisites ( Fondo Nacional de Regal\u00edas ) * * ICA * * Industrial and commercial tax ( El impuesto de industria y comercio ) * * ICBF * * Colombian Institute of Family Welfare ( Instituto Colombiano de Bienestar Familiar ) * * ICRC * * International Committee of the Red Cross * * IDP * * Internally displaced person * * IGAC * * Agustin Codazzi Geographical Institute ( Instituto Geogr\u00e1fico Agust\u00edn Codazzi ) * * IHL * * International Humanitarian Law * * INCODER * * Colombian Institute for Rural Development * * JUNTOS * * Network for Overcoming Extreme Poverty ( la Red para la Superaci\u00f3n de la Pobreza Extrema ) * * MEN * * National Ministry of Education ( Ministerio de Educaci\u00f3n Nacional ) * * MIJ * * Ministry of the Interior and Justice ( Ministerio del Interior y Justicia ) * * NGOs * * Non-governmental organizations * * PIU * * Unified Comprehensive Plan ( Plan Integrales \u00danicos ) * * RSG * * Representative of the UN Secretary-General on the Human Rights of Internally Displaced Persons * * RUP * * Central Registry of Abandoned Properties ( Registro \u00danico de Predios Abandonados del INCODER ) V", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000239:6:0:0", "surface": "Central Registry of Abandoned Properties", "start": 1497, "end": 1537, "luna": 0, "luna_split": false, "head_score": 0.1374140828847885, "extractor_score": 0.8514537215232849, "band": "confusion"}, {"key": "reliefweb:000239:6:0:1", "surface": "Registro \u00danico de Predios Abandonados del INCODER", "start": 1540, "end": 1589, "luna": 0, "luna_split": false, "head_score": 0.6112979054450989, "extractor_score": 0.6222463846206665, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * g ) Failure to transfer Land into the Custody of ULC * * I noted that out of the titled 1 , 909 land tittles held by 42 of the 45 MDAs in the sample , 15 MDAs did not transfer 167 land titles into the name and custody of the Uganda Land Commission for the benefit of the user MDAs . The Accounting Officers of public Universities and URA explained that Universities were body corporate with a right to own and manage their own land . I advised the Attorney General to give a general guidance to corporate government entities in regard to the custody of entity land with ULC . * * h ) Recording and Reporting of Government Land * * I noted that out of the 57 sampled entities , 20 entities did not record a total of 636 pieces of land measuring approximately 19 , 275 . 25 hectares in their respective Land registers rendering it difficult to confirm the completeness of their Land inventory . I also noted that 26 entities did not record a total of 1 , 355 pieces of land measuring approximately 21 , 603 . 08 hectares of land in their respective GFMIS fixed asset module thus affecting the accuracy of the nonproduced assets in the financial statements . The non-recording of land in the land register and GFMIS Asset module affects the Government \u2019 s ability to keep track of all its land which could easily lead to loss and / or misstatement of the non-produced asset in the financial statements . I advised the Accountant General to ensure that the asset module under the GFMIS is functioning properly . In addition , I advised the respective Accounting Officer to update both the fixed asset registers and the asset module under the GFMIS . * * i ) Utilization of Government Land for Delivery of Service * * I noted that out of the 57 sampled entities , 29 entities did not utilize a total of 258 pieces of land measuring approximately 10 , 066 . 8 hectares of land held by 30th June 2022 . Non-utilization and use of land for", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:003028:61:0:3", "surface": "GFMIS Asset module", "start": 1211, "end": 1229, "luna": 0, "luna_split": false, "head_score": 0.5152942538261414, "extractor_score": 0.47774407267570496, "band": "keep"}, {"key": "fcv_pads_east_africa:003028:61:0:4", "surface": "fixed asset registers", "start": 1589, "end": 1610, "luna": 0, "luna_split": false, "head_score": 0.20047689974308014, "extractor_score": 0.38613319396972656, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "4 . 3 Impact of relaxing FAR regulations on estimated land value creation There are Floor-Area Ratio ( FAR ) regulations in place in the Buenos Aires region , and in particular in the city of Buenos Aires proper ( CABA ) . We account for these in the model by adding a map that provides information about the maximum Floor Area Ratios \u2013 the ratio between the maximum amount of space built for residential or other purposes and the land area the structure is built-on \u2013 in _CABA_ together with the type of use allowed in each zone . We thus limit the maximum height of buildings within _CABA_ . We also exclude zones that are uniquely destined to commercial or industrial uses from being urbanized for residential purposes . To do so we intersected our grid with data from the 2011 C\u03ccdigo de Planeamiento Urbano ( CPU ) . < sup > 15 < / sup > [ ^ 15 : Accessible at : http : / / data . buenosaires . gob . ar / . ] The CPU map provides for each zone the classification of buildings that can be built . From this information we can retrieve the type of buildings ( residential commercial etc . ) and the maximum allowed height . For each grid cell we averaged the data to obtain the average building height for residential purposes in _CABA_ ( Figure 6 ) . Beyond _CABA_ however we do not introduce maximum building heights . It should be noted that FARs only have a loose connection to the number of floors that can be built on a given land plot so that equating both is a simplification that is valid for our modeling purposes only . Indeed , a residential FAR of 1 , for example , is the ratio between the amount of living space that can be built and the area of a plot of land . This can correspond to one floor if the building occupies the total space of the land plot , two floors if the building occupies only half the land plot area or even 4 floors if it occupies 25 % of the land plot . _Figure 6 : Maximum number of floors", "n": 2, "band": "keep", "mentions": [{"key": "sample:prwp:000444:22:0:0", "surface": "2011 C\u03ccdigo de Planeamiento Urbano", "start": 776, "end": 810, "luna": 1, "luna_split": false, "head_score": 0.965377151966095, "extractor_score": 0.7835046052932739, "band": "keep"}, {"key": "sample:prwp:000444:22:0:1", "surface": "CPU map", "start": 918, "end": 925, "luna": 1, "luna_split": false, "head_score": 0.8381375670433044, "extractor_score": 0.7135961055755615, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 15 . Ukrainian refugees wages median net wage by age group * * Monthly net wage ( PLN ) Percengate of all workers total economy average Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 16 . Median net wages of Ukrainian refugees median net wage by sector * * in PLN Percentage of total economy average 126 % 15 to 24 25 to 34 35 to 44 45 to 54 55 to 64 15 to 24 25 to 34 35 to 44 45 to 54 55 to 64 Ukrainian refugees All workers Source : Deloitte own elaboration based on SEIS UNHCR survey and GUS data . * * The Ukrainian refugee groups to earn * * * * the highest wages compared to the * * * * wages in the economy as a whole are * * * * the younger age groups . * * Ukrainian refugee incomes from employment are highest in the 25 \u2013 34 and 35 \u2013 44 age groups . However , relative to the economy as a whole , the wages of Ukrainian refugees are the highest in the youngest age groups and decrease with age . This can be explained by three facts . First , wages in the youngest age groups are most compressed , because they diverge with time and accumulated professional experience . Second , younger persons have less experience and so lose least from migration . Third , younger persons often find it easier to learn the language of the host country . * * The earnings of Ukrainian refugees * * * * differ across sectors in nominal * * * * terms and as a percentage of the * * * * economy as a whole \u2013 only education * * * * ranked lowest on both measures . * * Ukrainian refugees earn the highest wages in manufacturing , health , and accommodation and food service activities , while the lowest in education , other services , and construction . A comparison to median earnings in these sectors in the economy as a whole ( after re", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:10:0:0", "surface": "SEIS UNHCR survey", "start": 589, "end": 606, "luna": 1, "luna_split": false, "head_score": 0.9703314900398254, "extractor_score": 0.9188605546951294, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:10:0:1", "surface": "GUS data", "start": 611, "end": 619, "luna": 1, "luna_split": false, "head_score": 0.9453597068786621, "extractor_score": 0.920650064945221, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Beirut Housing Rehabilitation and Cultural and Creative Industries Recovery ( P176577 ) * * 23 . * * * * Disbursements and Flow of Funds . * * Funds will be channeled directly from the World Bank to the UN-Habitat bank account in US dollars outside Lebanon . UN-Habitat will submit withdrawal applications to the World Bank to request funds using the report-based disbursement method ( i . e . , based on IFRs for a six month expenditure projection ) . The format and content of the IFRs is provided in the Disbursement and Financial Information Letter ( DFIL ) . The amount of the advance will be based on a projection of six months expenditures . The disbursement categories , allocations , and percentage of expenditures to be financed are shown in the table below . | Category | Amount of the Grant < br > Allocated ( expressed in USD ) | Percentage of Expenditures to be < br > Financed < br > ( inclusive of Taxes ) | | - - - | - - - | - - - | | ( 1 ) Goods , works , non-consulting < br > services , and consulting services < br > under Part 1 of the Project | 8 , 275 , 520 | 100 % | | ( 2 ) < br > Consulting < br > services , < br > non - < br > consulting services and CCI Grants < br > under Part 2 of the Project | 1 , 951 , 857 | 100 % | | ( 3 ) ( a ) Indirect Cost under Part 3 of < br > the project ( 5 % ) < br > < br > ( 3 ) ( b ) Direct Cost under Part 3 of the < br > Project | 607 , 143 < br > < br > < br > < br > 1 , 915 , 480 | 100 % | | * * TOTAL AMOUNT * * |", "n": 1, "band": "confusion", "mentions": [{"key": "jdc_operational:000012:52:0:0", "surface": "IFRs", "start": 428, "end": 432, "luna": 0, "luna_split": false, "head_score": 0.22834162414073944, "extractor_score": 0.892744243144989, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Ethiopia Digital ID for Inclusion and Services Project ( P179040 ) * * ANNEX 3 : Gender Analysis and Action Plan * * | Problem statement . In Ethiopia , there is a notable gender gap in the existing ID system ( Kebele ID ) coverage . According to the < br > ID4D-Findex Survey ( 2017 ) , 36 percent of the population ages 18 and older lack a Kebele ID , with significant gender gap of 46 < br > percent of women lacking one , compared to 25 percent of men . | Col2 | Col3 | | - - - | - - - | - - - | | * * ANALYSIS : * * < br > * * Gender gaps identified * * | * * ACTIONS : * * < br > * * Proposed actions Taken to address gaps * * | * * INDICATORS * * : < br > * * How bridging the gap * * < br > * * will be measured * * | | * * Women have less knowledge about benefits * * < br > * * of having an ID . * * Country-specific research , < br > including a Social Risk Analysis and a Gender < br > Gap in ID Study , outline low literacy , a general < br > lack of awareness on the day-to-day use of ID , < br > perceived irrelevance of formal identification , < br > and limited knowledge of individual rights as < br > key factors contributing to lower Kebele ID < br > enrolment by women . Based on the most < br > recent data from 2017 , the adult ( age 15 and < br > above ) literacy rate for men is 59 percent , < br > compared to 44 percent for women ( World < br > Bank 2022 ) , which can make it harder for < br > women to navigate the ID registration < br > process . |", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000005:48:0:0", "surface": "ID4D-Findex Survey", "start": 281, "end": 299, "luna": 1, "luna_split": false, "head_score": 0.8369742631912231, "extractor_score": 0.9478641152381897, "band": "keep"}, {"key": "refugee_pads:000005:48:0:1", "surface": "data from 2017", "start": 1247, "end": 1261, "luna": 0, "luna_split": false, "head_score": 0.6675675511360168, "extractor_score": 0.49049314856529236, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": ". On the other hand , the most attractive centers in terms of reception are those with greater economic development and available public services . However , the arrival of IDPs increases the demand for services and the situation of the historically vulnerable population worsens ( PIU of Antioquia , 2006 ) . Despite being the Department with the highest indices of forced displacement , the tendency seems to have changed in recent years as the number of people arriving in Medell\u00edn and in other municipalities of the department ( Graph 5 ) has decreased over the last two years . The case of Santa Marta deserves similar attention . Santa Marta is one of the main IDP receiving cities in the country , with 70 , 000 displaced families registered in the RUPD through February 2007 , equal to 19 percent of the total native population in Santa Marta ( the pressure index , according to UNHCR figures for 2005 is around 15 . 5 % ) . In addition , 74 percent of IDP households are below the minimum living conditions and 65 percent of them live under the poverty line ( ICRC and WFP , 2007 ) . The highest peak of IDP reception in Santa Marta was observed in 2002 ; since then , the arrival of IDPs has generally declined although there was an increase in 2005 ( Graph 6 ) . Antioquia and Santa Marta are substantially affected by the fact that they are both regions which receive IDPs and from which IDPs originate . In Antioquia every municipality has been affected by this phenomenon . Displacement seems to be concentrated within the department ( 85 % of the cases are intradepartmental displacements ) . Map 1 shows that , although Medell\u00edn receives the most IDPS 18 Acci\u00f3n Social : January 31 , 2008 .", "n": 2, "band": "keep", "mentions": [{"key": "sample:reliefweb:000239:46:1:0", "surface": "RUPD", "start": 756, "end": 760, "luna": 1, "luna_split": false, "head_score": 0.9501082897186279, "extractor_score": 0.5937126874923706, "band": "keep"}, {"key": "sample:reliefweb:000239:46:1:1", "surface": "UNHCR figures for 2005", "start": 887, "end": 909, "luna": 1, "luna_split": false, "head_score": 0.8902215361595154, "extractor_score": 0.6939575672149658, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "in section III . B . The DLIs were clearly defined and measurable , well integrated and provided the right incentives for achieving the Program objectives . As mentioned in section I . B , DLI 4 was introduced following reallocation of remaining balances of DLIs 1 and 3 to remain sufficiently relevant to the PDO , Program needs , and Government priorities . 21 . * * Overall , the DLIs provided the necessary triggers to the overall Program performance and results , leading * * * * to tangible outcomes . * * DLI 1 incentivized county governments to commit to address to urban development issues and improving urban management . From APA 3 , all 45 counties were able to meet the minimum conditions . DLI 2 , 3 and 4 incentivized participating counties to set up Urban Boards , with associated charters , managers , and budget votes in place . They also led to enhanced service delivery through the supported infrastructure . * * Rating of Overall Relevance * * 22 . Overall Relevance is rated High , as the PDO and the DLIs remained highly relevant to the CPF and Government priorities throughout the Program period . Moreover , the DLIs were revised to keep objectives and DLIs fully relevant . * * B . ACHIEVEMENT OF PDOs ( EFFICACY ) * * Assessment of Achievement of Each Objective or Outcome 23 . The assessment of achievement of PDO has been organized around each objective captured in the statement of objectives as follows : ( i ) Objective 1 : Establishing and strengthening urban institutions , ( ii ) Objective 2 : Improving infrastructure and services . Evidence presented on this section is drawn from PDO Indicators , DLIs , APAs , Beneficiary and Economic Assessment ( BEA ) , Value for Money Audit ( VfM ) , End of Program Evaluation ( EPE ) and Intermediate Results Indicators ( IRIs ) . _Objective 1 : Establish and strengthen urban institutions_ 24 . KUSP helped establish 77 urban institutions : Five years after the inauguration of County governments a huge institutional gap existed in terms", "n": 3, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:003095:12:1:0", "surface": "PDO Indicators", "start": 1618, "end": 1632, "luna": 1, "luna_split": false, "head_score": 0.7713477611541748, "extractor_score": 0.6856788992881775, "band": "keep"}, {"key": "fcv_pads_east_africa:003095:12:1:1", "surface": "Beneficiary and Economic Assessment", "start": 1649, "end": 1684, "luna": 1, "luna_split": false, "head_score": 0.6383464932441711, "extractor_score": 0.7077703475952148, "band": "keep"}, {"key": "fcv_pads_east_africa:003095:12:1:2", "surface": "Intermediate Results Indicators", "start": 1765, "end": 1796, "luna": 1, "luna_split": false, "head_score": 0.617551863193512, "extractor_score": 0.7628746032714844, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "< u > Construction < / u > < u > Construction < / u > < u > Trade < / u > < u > Wholesale and retail trade , accommodation , food and beverage < / u > < u > Transport < / u > < u > Transport , storage , information and communication < / u > < u > Business < / u > < u > Finance , insurance , real estate and business services < / u > < u > Other < / u > < u > Utilities ; government services ; other services < / u > * * Table 2 : Categorization of sectors based on MSIC ( Updated ) 1972 , MSIC 2000 and MSIC 2008 * * * * < u > MSIC ( Updated ) 1972 < / u > * * * * Sector * * * * < u > ( 1987-2000 ) < / u > * * * * < u > MSIC 2000 < / u > * * * * < u > ( 2001-2009 ) < / u > * * * * < u > ( 1987-2000 ) < / u > * * < u > Agriculture , forestry , < / u > Agriculture < u > livestock and fishing < / u > < u > Agriculture , hunting and < / u > Agriculture , forestry and fishing < u > forestry ; fishing < / u > * * < u > MSIC 2008 < / u > * * * * < u > ( 2010-2018 ) < / u > * * < u > Mining < / u > < u > Mining and quarrying < / u > < u > Mining and quarrying < / u > < u > Mining and quarrying < / u > < u > Manufacturing < / u > < u > Manufacturing < / u > < u > Manufacturing < / u > < u > Manufacturing < / u > < u > Construction < / u > < u >", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000455:9:1:0", "surface": "MSIC ( Updated ) 1972", "start": 466, "end": 487, "luna": 0, "luna_split": false, "head_score": 0.5115819573402405, "extractor_score": 0.62157142162323, "band": "keep"}, {"key": "prwp:000455:9:1:4", "surface": "MSIC 2008", "start": 504, "end": 513, "luna": 0, "luna_split": false, "head_score": 0.6659330129623413, "extractor_score": 0.7702924609184265, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": ". * * Ukrainian refugees earn the highest wages in manufacturing , health , and accommodation and food service activities , while the lowest in education , other services , and construction . A comparison to median earnings in these sectors in the economy as a whole ( after recalculation from gross to net earnings ) changes that order , with Ukrainian refugees employed in accommodation and food service activities , and construction earning more than 100 % of all workers median , and education , health services , and transportation and storage on the lowest ranks . Earnings relative to the total economy would be lower , if gross wages were compared , because Ukrainian refugees are less likely to have employment contracts and pay social contributions on their entire earnings . < sup > 16 < / sup > Ukrainian refugees employed in education have the lowest median net wages when compared to other sectors . This is likely due to occupational regulations that prevent persons with nonEU citizenship from working as teachers in public schools , which is further discussed in chapter 4 . 4 , 198 4 , 216 Source : Deloitte own elaboration based on SEIS UNHCR survey and GUS data . \u00a9 UNHCR / Anna Liminowicz 16 As refugees more often than average in the Polish economy work based on civil law contracts or self-employment , they may not be covered by employee protections denoted in the labour code . Furthermore , if they pay lower pension contributions , they will receive lower pensions in the future , as Poland has a defined contribution system . It also lowers their sick leave benefits . 20 21", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:10:1:0", "surface": "SEIS UNHCR survey", "start": 1151, "end": 1168, "luna": 1, "luna_split": false, "head_score": 0.9564039707183838, "extractor_score": 0.9171493053436279, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:10:1:1", "surface": "GUS data", "start": 1173, "end": 1181, "luna": 1, "luna_split": false, "head_score": 0.9302099347114563, "extractor_score": 0.907230019569397, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "in armed conflict may facilitate substantial population * * * * movement . * * About 1 . 2 million people have returned from displacement within and outside of South Sudan since 2016 to date . Among them , over 534 , 000 people ( 45 percent ) returned since the signing of the revitalized peace agreement in September 2018 until March 2019 . < sup > 13 < / sup > [ ^ 13 : IOM DTM ] This demonstrates that more people returned in a shorter period of time since the signing of the agreement . According to both the UNHCR and IOM \u2019 s recent intention surveys , major pull factors for return are improved security , family reunification , access to basic services , and livelihood opportunities . For refugees , 30 percent of them in neighboring countries consider returning but majority are waiting to see how the situation unfolds . Slightly higher numbers of IDPs have longer term return intentions to home areas . The prevailing security and basic living conditions are not yet conducive to more widespread return movements among both populations , however . In addition , there have been new / secondary displacements triggered by intensifying inter-communal clashes in areas such as Unity , Warrap , Lakes , Western Bahr-el-Ghazal , Central Equatoria and Jonglei . < sup > 14 < / sup > [ ^ 14 : UNMISS ( August 2019 ) ( _Mimeo_ ) ] Population movement thus remains volatile , where temporary visits by single family members to look after assets and property in home areas predominate . Should the unity government be formed in November 2019 and security situation improve , however , the return of some of the 4 . 2 million displaced ( both refugees and IDPs ) is likely to accelerate . 9 . * * Unlike in other countries where significant numbers of returnees gravitate to major cities , in South Sudan the * * * * evidence suggests that IDPs and refugees are likely to return to their original villages or in their vicinity . * * Existing data shows that a large majority ( 87 percent ) of IDP and refugee returns are primarily to areas of habitual residence while relocations to third areas is quite", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000014:4:1:0", "surface": "IOM DTM", "start": 372, "end": 379, "luna": 1, "luna_split": false, "head_score": 0.8656299114227295, "extractor_score": 0.9287046194076538, "band": "keep"}, {"key": "sample:jdc_operational:000014:4:1:1", "surface": "intention surveys", "start": 538, "end": 555, "luna": 1, "luna_split": false, "head_score": 0.8730247020721436, "extractor_score": 0.45889610052108765, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * SPF : Improved Livelihoods for Internally Displaced Persons in Azerbaijan ( P178125 ) vulnerable due to their long-standing situation of displacement and who may not have an opportunity to return to their places of origin for some time . 9 . Since November 2021 , the World Bank has been providing analytical and technical assistance to the Government through a State and Peacebuilding Fund-financed , Bank-executed grant called _Support for Peacebuilding and Recovery in Azerbaijan_ . This grant has financed analytical work that aims to inform a policy dialogue between the Bank and SCRI , including a survey of IDPs which focused on understanding the current livelihoods , service delivery , and social inclusion , and future aspirations ; and a lessons learned paper on livelihood activities for IDPs . As IDPs are just beginning to return to liberated areas , it is a critical time for the Bank to engage with GoA on a policy dialogue as the steps that are taken now will have long-lasting effects . The Bank will mobilize its growing knowledge and experience in addressing the challenges of forced displacement to support the Government . In addition to the analytical work undertaken , activity under the SPF grant also includes support for the Joint Recovery Needs Assessment ( JRNA ) for Fizuli , Agdam and Jabrayil , and just-in-time advice to the Office of Special Representative ( OSR ) of the President to the Karabakh Economic Region on issues including management information systems , local governance , and smart city development . Preparation of the JRNA will benefit from the knowledge gained through the proposed Improved Livelihoods for Internally Displaced Persons ( ILIDP ) Project and the OSR will benefit from the Project as well given their role in facilitating the sustainable return of IDPs . 10 . * * The IDP survey and lessons learned paper on livelihoods described above have informed * * * * the design of the proposed project by summarizing the current living conditions of IDPs as well * *", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000007:11:0:0", "surface": "survey of IDPs", "start": 627, "end": 641, "luna": 1, "luna_split": false, "head_score": 0.627699613571167, "extractor_score": 0.9569905400276184, "band": "keep"}, {"key": "refugee_pads:000007:11:0:1", "surface": "IDP survey", "start": 1857, "end": 1867, "luna": 1, "luna_split": false, "head_score": 0.5878695249557495, "extractor_score": 0.9195562601089478, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "< mark > TABLE 2 < / mark > * * Asylum applications submitted in selected countries in Eastern Europe * * | 2008-2012 All fi gures are based on annual data . Notes Source : _Governments , UNHCR . _ _All figures in this table have been rounded to the closest ten . _ Azerbaijan . _Source : Government and UNHCR . _ Russian Federation . _In addition , 2 , 990 persons applied for temporary asylum in 2009 ; 1 , 710 in 2010 ; 1 , 030 in 2011 ; and 1 , 080 in 2012 . _ Ukraine . _Data for 2012 is not available . _ Source for national population : _United Nations , Population Division , \u201c World Population Prospects : The 2010 Revision \u201d , New York , 2011 . _ Source for Gross Domestic Product ( PPP ) : _International Monetary Fund , World Economic Outlook Database , October 2012 ( accessed 5 March 2013 ) . _ * * 22 * * Asylum Levels and Trends in Industrialized Countries - 2012", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000259:21:0:0", "surface": "annual data", "start": 144, "end": 155, "luna": 0, "luna_split": false, "head_score": 0.8385594487190247, "extractor_score": 0.8771602511405945, "band": "keep"}, {"key": "reliefweb:000259:21:0:1", "surface": "World Economic Outlook Database", "start": 732, "end": 763, "luna": 1, "luna_split": false, "head_score": 0.8832796216011047, "extractor_score": 0.8748388290405273, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "- Os documentos de pedidos de ofertas / pedidos de propostas dever\u00e3o exigir que os licitadores / proponentes que apresentem ofertas / propostas apresentem uma aceita\u00e7\u00e3o assinada no momento da licita\u00e7\u00e3o para serem incorporados em quaisquer contratos resultantes , confirmando a aplica\u00e7\u00e3o e cumprimento das Orienta\u00e7\u00f5es Anticorrup\u00e7\u00e3o do Banco , incluindo sem limita\u00e7\u00e3o o direito de san\u00e7\u00e3o do Banco e os direitos de inspe\u00e7\u00e3o e auditoria do Banco ; - A aceita\u00e7\u00e3o dos Direitos do Banco para rever a documenta\u00e7\u00e3o e as atividades de aquisi\u00e7\u00e3o . Quando forem aplicados pelo Mutu\u00e1rio outras disposi\u00e7\u00f5es de licita\u00e7\u00e3o nacional de contratos p\u00fablicos que n\u00e3o sejam nacionais abertos , essas disposi\u00e7\u00f5es ser\u00e3o sujeitas ao ponto 5 . 5 do Regulamento de Aquisi\u00e7\u00e3o . * * _Ativos locados_ * * _ , conforme especificado no ponto 5 . 10_ do Regulamento de Aquisi\u00e7\u00e3o : O arrendamento pode ser utilizado para os contratos identificados nas tabelas do Plano de Aquisi\u00e7\u00e3o . _ \" N\u00e3o aplic\u00e1vel \" _ * * _Aquisi\u00e7\u00e3o de bens em segunda_ * * * * _m\u00e3o_ * * _ , conforme especificado no ponto 5 . 11_ do Regulamento de Aquisi\u00e7\u00e3o - \u00e9 permitido para os contratos identificados nas tabelas do Plano de Aquisi\u00e7\u00e3o _ \" N\u00e3o Aplic\u00e1vel \" _ * * _Prefer\u00eancia dom\u00e9stica_ * * _ , tal como especificado nos termos do ponto", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:003335:25:0:0", "surface": "tabelas do Plano de Aquisi\u00e7\u00e3o", "start": 917, "end": 946, "luna": 0, "luna_split": false, "head_score": 0.2973306477069855, "extractor_score": 0.5578109622001648, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:003335:25:0:1", "surface": "tabelas do Plano de Aquisi\u00e7\u00e3o", "start": 1145, "end": 1174, "luna": 0, "luna_split": false, "head_score": 0.20592182874679565, "extractor_score": 0.5003349184989929, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "u > 2 . 61 < / u > < u > 1 . 10 < / u > < u > 2 . 73 < / u > < u > 1 . 13 < / u > < u > NSS 1995 ( 6-18 ) < / u > N = 27819 N = 15152 N = 12667 Father ' s Sch . 5 . 24 2 . 44 5 . 16 2 . 46 5 . 33 2 . 42 Educ . Exp . 1338 . 27 1529 . 59 1382 . 00 1588 . 18 1285 . 96 1454 . 75 < u > No . of Children < / u > < u > 2 . 67 < / u > < u > 1 . 14 < / u > < u > 2 . 60 < / u > < u > 1 . 12 < / u > < u > 2 . 75 < / u > < u > 1 . 17 < / u > Notes : CFPS stands for China Family Panel Survey , IHDS stands for Indian Human Development Survey , and NSS stands for National Sample Survey .", "n": 2, "band": "confusion", "mentions": [{"key": "prwp:000465:44:4:1", "surface": "Indian Human Development Survey", "start": 501, "end": 532, "luna": 1, "luna_split": false, "head_score": 0.7614923119544983, "extractor_score": 0.7052212953567505, "band": "keep"}, {"key": "prwp:000465:44:4:2", "surface": "National Sample Survey", "start": 554, "end": 576, "luna": 0, "luna_split": false, "head_score": 0.35081538558006287, "extractor_score": 0.36562591791152954, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "banks ) further strengthens that effect . In total , general government revenue increased by 2 . 0 % in 2022 , 2 . 75 % in 2023 , and 2 . 94 % in 2024 . In monetary terms this amounts to PLN 25 . 0 billion in 2022 , PLN 39 . 1 billion in 2023 , and PLN 47 . 0 billion in 2024 < sup > 22 < / sup > . In the long term , refugees should increase annual general government revenue by around 2 . 7 % . * * Ultimately , Ukrainian refugees * * * * generate additional output and * * * * demand . * * This results in an increase in real GDP , and is especially beneficial for public finance . Although the influx of refugees was costly at the start , the additional general government revenue they provided was more than enough to compensate for the expense < sup > 23 < / sup > . Tight labour market helped absorb the increase in labour force , mitigating negative impacts of increased competition on the native workforce . Over time , increased productivity should benefit native workers , as it is the primary driver of long-term wage growth . < sup > 24 < / sup > [ ^ 24 : For a discussion on the stable long-term relationship between wages and labour productivity , see for example Meager & Speckesser ( 2011 ) . ] 22 Deloitte own calculations based on < u > Informacja kwartalna o stanie finans\u00f3w publicznych - Ministerstwo Finans\u00f3w - Portal Gov . pl for respective years . The general < / u > government income share in GDP in 2024 was calculated based on the data for Q1 \u2013 Q3 and based on that total general government income was calculated using forecast for GDP from < u > Wytyczne dotycz\u0105ce wska\u017anik\u00f3w makroekonomicznych - Ministerstwo Finans\u00f3w - Portal Gov . pl . < / u > 23 Model treats general government sector as a whole , as such cost and income internal structure may differ creating institutions with financial loses while other may have disproportionate increase of income . 24 For", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:12:1:0", "surface": "Informacja kwartalna o stanie finans\u00f3w publicznych", "start": 1256, "end": 1306, "luna": 1, "luna_split": false, "head_score": 0.45106929540634155, "extractor_score": 0.903989851474762, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:12:1:1", "surface": "data for Q1 \u2013 Q3", "start": 1459, "end": 1475, "luna": 1, "luna_split": false, "head_score": 0.8170335292816162, "extractor_score": 0.9339451789855957, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Uganda Secondary Education Expansion Project ( P166570 ) that 40 percent of teachers in schools have been placed there based on factors other than the class time required by students . < sup > 9 < / sup > [ ^ 9 : UNESCO 2014 , Teacher Issues in Uganda : A shared vision for an effective teachers \u2019 policy . ] Old curricula ( replaced in 2020 ) used to further complicate teacher allocation across schools by imposing too many subjects that required specialized teachers . This inefficiency was resolved by the new curricula . 8 . * * In spite of increased access to schooling , the average level of education of the work force remains low * * * * and does not meet labor market requirements . * * Uganda has been absorbing 600 , 000 new entrants to the labor market each year since 2014 . In order to sustainably increase welfare , these entrants must find productive employment . < sup > 10 < / sup > [ ^ 10 : Uganda job diagnostics / strategy , World Bank , 2018 , draft . ] Estimates from the Uganda National Household Survey ( UNHS ) ( 2016 ) show that only entrants with post-secondary education can escape informal sector work . In order to increase the employability and productivity of the expanding workforce , supply of quality education , especially for low-income , rural households and girls , is critical . According to the UNHS , only one in five people aged 15 and above completed full secondary education . Thus , a large number of youth enter the job market without foundational skills of basic literacy and numeracy , as well as generic skills essential for life and work . 9 . * * Uganda is a pioneer in SSA in terms of setting the goal of achieving universal access to secondary * * * * education . * * The secondary education sub-sector in Uganda is centrally managed and comprises six grades , Senior 1 ( S1 ) to Senior 6 ( S6 ) . S1-S4 is categorized as ordinary ( \u2018 O \u2019 ) level , or lower secondary , while S5-S6 is Advanced ( \u2018 A \u2019", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000018:14:0:0", "surface": "Uganda National Household Survey", "start": 1019, "end": 1051, "luna": 1, "luna_split": false, "head_score": 0.9123384356498718, "extractor_score": 0.9529244303703308, "band": "keep"}, {"key": "sample:jdc_operational:000018:14:0:1", "surface": "UNHS", "start": 1361, "end": 1365, "luna": 1, "luna_split": false, "head_score": 0.9361295104026794, "extractor_score": 0.4305936396121979, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "role in facilitating the sustainable return of IDPs . 10 . * * The IDP survey and lessons learned paper on livelihoods described above have informed * * * * the design of the proposed project by summarizing the current living conditions of IDPs as well * * * * as lessons from implementation of previous livelihood programs * * . Though both studies are in the process of being finalized , they have provided valuable inputs to the design of this project . The study of lessons from other livelihoods and job training programs revealed the need for close support for training participants to ensure the sustainability of their achievements . This has resulted in the incorporation of mentors into the project design from the time of project launch through completion and an emphasis on community-based support to address the unique context of each IDP settlement . The household survey found that 22 percent of household members are unemployed and 30 percent of respondents are looking for work . There remains a reliance on state support with 90 percent of respondents receiving an IDP allowance . To address their income generation needs , respondents identified various skills they would like to acquire with males wanting to have skills in the agriculture / fishery , automotive and land transport , and construction sectors while women preferred garments / sewing , health care and community development . While the data collected through the survey on job and skills provides useful benchmarking information , more localized labor market surveys will need to be undertaken to identify targeted opportunities in the communities where IDPs are living to support livelihoods that provide greater incomes over sustained periods . Page 9 of 34", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000007:11:1:0", "surface": "household survey", "start": 869, "end": 885, "luna": 1, "luna_split": false, "head_score": 0.8756564855575562, "extractor_score": 0.9186204671859741, "band": "keep"}, {"key": "refugee_pads:000007:11:1:1", "surface": "survey on job and skills", "start": 1448, "end": 1472, "luna": 1, "luna_split": false, "head_score": 0.7303785681724548, "extractor_score": 0.9537408947944641, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "* * Data disaggregated by AGD enriched the assessment * * * * and analysis of needs , capacities and programming * * * * gaps . * * Most UNHCR operations reported gathering and analysing AGD-disaggregated data in their consultations with persons of concern as part of assessment processes . In * * Sudan , * * data disaggregated by AGD demonstrated that efforts to include persons with disabilities and older persons in interventions needed to go beyond the provision of assistive devices . It also showed that better understanding of the attitudinal , physical and systemic barriers experienced by persons with disabilities is needed to ensure that the operation \u2019 s programming addresses such barriers in an optimum way . The * * Argentina * * Multi-Country Office based its planning exercise for 2021 on a joint needs assessment of Venezuelan refugees \u2019 and migrants \u2019 humanitarian needs , conducted in October 2019 . In * * Lebanon , * * UNHCR used AGD-disaggregated data , generated through inter-agency coordination , to inform joint situation analysis and sectoral strategies , and to coordinate sectoral activities . * * AGD approaches and disaggregated data improved * * * * planning and the prioritization of interventions . * * UNHCR operations used the findings of assessments and consultations with persons of concern to inform the design of programmes , to set out their strategic directions and to incorporate responses that address AGD-related risks and barriers , including those created or exacerbated by the COVID-19 pandemic . For example , in * * Ethiopia , * * consultations with persons of concern and the use of disaggregated data from the Profile Global Registration System ( proGres ) led to the prioritization of emergency one-off food or cash distributions to refugee female-headed households at heightened protection risk . In * * Nepal , * * the analysis of AGD-disaggregated data about school-age children highlighted the need to facilitate , support and strengthen the enrolment of children in pre-primary and secondary level public schools . The", "n": 4, "band": "keep", "mentions": [{"key": "reliefweb:000271:16:0:0", "surface": "Data disaggregated by AGD", "start": 4, "end": 29, "luna": 1, "luna_split": false, "head_score": 0.556657075881958, "extractor_score": 0.8088252544403076, "band": "keep"}, {"key": "reliefweb:000271:16:0:1", "surface": "AGD-disaggregated data", "start": 187, "end": 209, "luna": 1, "luna_split": false, "head_score": 0.5692659020423889, "extractor_score": 0.6642077565193176, "band": "keep"}, {"key": "reliefweb:000271:16:0:4", "surface": "Profile Global Registration System", "start": 1664, "end": 1698, "luna": 1, "luna_split": false, "head_score": 0.8771793246269226, "extractor_score": 0.9343510270118713, "band": "keep"}, {"key": "reliefweb:000271:16:0:5", "surface": "AGD-disaggregated data about school-age children", "start": 1888, "end": 1936, "luna": 1, "luna_split": false, "head_score": 0.856916606426239, "extractor_score": 0.5997795462608337, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "from < br > 2017 , since which time the MoES has been updating the comprehensive Education < br > Management Information System ( EMIS ) . Enrollments in target areas have increased in the < br > interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . < br > Values exceed the end targets because the Results Framework ( RF ) is based on data from < br > 2017 , since which time the MoES has been updating the comprehensive Education < br > Management Information System ( EMIS ) . Enrollments in target areas have increased in the < br > interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . < br > Values exceed the end targets because the Results Framework ( RF ) is based on data from < br > 2017 , since which time the MoES has been updating the comprehensive Education < br > Management Information System ( EMIS ) . Enrollments in target areas have increased in the < br > interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . < br > Values exceed the end targets because the Results Framework ( RF ) is based on data from < br > 2017 , since which time the MoES has been updating the comprehensive Education < br > Management Information System ( EMIS ) . Enrollments in target areas have increased in the < br > interim for reasons outside the influence of the project . | | | 16 , 000 . 00 | Sep / 2017 | 26 , 285 | 31-Jan-2025 | 26 , 285 | 15-May-2025 | 21 , 400 . 00 | Jun / 2025 | Jun 30 , 2025", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:003401:2:5:1", "surface": "data from < br > 2017", "start": 433, "end": 454, "luna": 1, "luna_split": true, "head_score": 0.7239855527877808, "extractor_score": 0.5407556295394897, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "could also be problematic when the literacy level of respondents is low . Yet , many researchers consider the diary to be the \u2018 gold-standard \u2019 for collecting time use data . Another method for collecting time use data in large-scale surveys is the _stylized questions_ approach where respondents are asked to recall the amount of time they allocate or have allocated to a certain activity over a specific period . Stylized questions are believed to be the least expensive way to measure time use , mainly because they require fewer questions and less effort to implement than time diaries . However , evidence suggests that data collected with this method might have a degree of error . For instance , stylized questions can understate the time women spend on childcare because people may classify it as work or because it is reported only when it is done as a main activity ( Craig , 2002 ) . Respondents may also have a difficult time recalling what they did over the time period that the question references and they might overreport activities that are perceived as socially \u201c good \u201d or acceptable . Another drawback to stylized questions is that questions must be worded so that respondents understand the types of activities for which they are to report . Getting contextual information under this method , such as where and with whom the person was during each activity , can impact negatively on the response rate . This implies that activities need to be classified within the question . Regardless of the instrument , self-reporting the amount of time allocated to the different activities is far from being objective . For example , the various types of activities that constitute housework are variable . \u201c Cooking \u201d can refer to anything from micro-waving food to a large dinner in which everything is made from scratch . \u201c Doing the laundry \u201d might or might not include putting the clothes away . At the same time , most time use studies focus only on primary activities , ignoring the fact that individuals often perform two or more tasks at the same time . This implies that the time allocated to activities", "n": 1, "band": "keep", "mentions": [{"key": "prwp:000473:8:0:0", "surface": "time use data", "start": 159, "end": 172, "luna": 0, "luna_split": false, "head_score": 0.5423855781555176, "extractor_score": 0.727794885635376, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "elaboration based on Eurostat ( Labour Force Survey ) data . * * Occupational downgrading is * * * * widespread among Ukrainian refugees * * * * in Poland . * * SEIS data shows that 40 % of Ukrainian refugees aged 25 \u2013 64 hold a tertiary degree \u2013 exceeding the share of Polish citizens in the same age bracket , according to Eurostat \u2019 s 2023 annual average . While ZUS data available as of June 30 , 2024 , shows occupational groups for less than half of the socially insured in Poland , it reflects a visible mismatch between the refugees \u2019 education and the jobs they perform . Only 12 % of Ukrainian refugees ( less than one-third of the share in terms of tertiary education ) worked in occupational groups which require tertiary education , that is managers , specialists , and technicians ( ISCO 1-3 ) , compared to 37 % of Polish citizens ( almost the same as the tertiary education share in the 25-64 age group ) . 2022 2023", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:13:2:0", "surface": "SEIS data", "start": 161, "end": 170, "luna": 1, "luna_split": false, "head_score": 0.8935319185256958, "extractor_score": 0.8212864398956299, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:13:2:1", "surface": "ZUS data", "start": 366, "end": 374, "luna": 1, "luna_split": false, "head_score": 0.8592789769172668, "extractor_score": 0.8695488572120667, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Uganda Secondary Education Expansion Project ( P166570 ) 11 . * * There are disparities in access to secondary education by region , location , wealth , and gender . * * The Northern region lags behind in terms of access to secondary education ( Figure 6 ) , with GER for nearly all districts in the region below the national average of 28 percent and many of them below 10 percent . The enrollment rates in urban areas of the Central region are dramatically higher than those in rural and underserved areas in the North . For instance , in 2015 , GER in the capital city of Kampala was over 50 percent , while in rural Kaabong ( Karamoja district ) , it was only 5 percent . Variations by welfare quintiles reveal that secondary school enrollment drops with decreasing welfare . It is the lowest for persons in the lowest quintile ( 7 percent ) and highest in the fifth quintile ( 41 percent ) . < sup > 15 < / sup > Disparities in completion < sup > 16 < / sup > rates are evident between rural areas , at 6 . 5 percent , and urban , at just over 14 percent . Variations in secondary completion rates persist across the country with Kampala ( Central ) having 15 National Household Survey 2012 / 13 . [ Data on wealth and enrolment disparities not included in the 2016 National Household Survey ] 16 Completion rate here is defined as children completing primary seven as a proportion of children entering primary one . Page 10 of 96", "n": 3, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000018:15:0:0", "surface": "National Household Survey", "start": 1188, "end": 1213, "luna": 1, "luna_split": false, "head_score": 0.931235671043396, "extractor_score": 0.7329952120780945, "band": "keep"}, {"key": "sample:jdc_operational:000018:15:0:1", "surface": "Data on wealth and enrolment disparities", "start": 1228, "end": 1268, "luna": 0, "luna_split": false, "head_score": 0.8025730848312378, "extractor_score": 0.7643368244171143, "band": "keep"}, {"key": "sample:jdc_operational:000018:15:0:2", "surface": "2016 National Household Survey", "start": 1289, "end": 1319, "luna": 0, "luna_split": false, "head_score": 0.9242773056030273, "extractor_score": 0.8899955153465271, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * Annex 1 : * * * * Project * * * * Design * * * * Summary * * * * SIERRA LEONE : * * * * NATIONAL * * * * SOCIAL ACTION * * * * PROJECT * * . * * Hierarchy o . Qbijctives - ' * * - . * * diator * * * * r * * , t * * , P * * * * jCitidaI * * * * r ! * * * * As ' s-umptIons , Y - * * * * Sector-related * * * * CAS * * * * Goal : * * * * Sector * * * * Indicators : * * * * Sector / country reports : * * * * ( from * * * * Goal * * * * to Bank * * * * Mission ) * * Mitigate the risk of renewed 1 . National conflict / security - - UNHCR / OCHA reports - Continued peace and * * conflict * * * * and lay foundation * * related indicators - Household Income and regional security * * for * * * * poverty reduction and * * 2 . Inter-regional disparities in Expenditure Surveys - Economic and political * * improvements * * * * in nutrition , * * I-PRSP & PRSP core - PETS surveys stability * * health , education * * * * and * * indicators - Strategic Planning and * * targeting * * * * the rural * * 3 . Inter-regional disparities in Action Process ( SPP ) reports * * population , * * women * * and * * Popular Benchmarks * * children . * * * * Project * * * * Development * * * * Outcome * * * * / * * * * Impact * * * * Project reports : * * * * ( from * * *", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000013:29:0:0", "surface": "Inter-regional disparities in Expenditure Surveys", "start": 728, "end": 777, "luna": 0, "luna_split": false, "head_score": 0.09434235095977783, "extractor_score": 0.3599305748939514, "band": "confusion"}, {"key": "refugee_pads:000013:29:0:1", "surface": "PETS surveys", "start": 868, "end": 880, "luna": 1, "luna_split": false, "head_score": 0.7193148732185364, "extractor_score": 0.9073312878608704, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "data to plan the distribution of sanitary materials and winter clothes in selected locations . In * * Yemen , * * UNHCR modified the targeting and distribution modalities for cash assistance for internally displaced persons and refugees by prioritizing heads of household with disabilities and older persons without any support . Furthermore , when selecting modalities of cash interventions , UNHCR took into account mobility restrictions due to age and disability , and introduced alternative forms of distribution , with home visits and cash in hand . In * * Mauritania * * , UNHCR used data disaggregated by AGD to prioritize refugee registration and to ensure that individuals at heightened risk of refoulement were registered and documented in a timely manner . It also prioritized LGBTIQ + people for refugee status determination to ensure timely and effective protection and assistance . In * * Ukraine , * * UNHCR used its disaggregated data to identify individuals at heightened protection risks for targeting purposes . It applied a common set of criteria to select recipients across its different forms of assistance , such as shelter support , core relief items and individual protection assistance through cash . For example , of the internally displaced persons who received cash as a form of individual protection assistance , 64 per cent were women and 60 per cent were older persons , which largely reflected the demography of the communities in targeted areas . * * Some operations also disaggregated data by AGD to * * * * inform Monitoring and Evaluation activities . * * In a number of operations , monitoring information disaggregated by AGD was used to carry out adjustments in ongoing programmes and to inform the next planning cycle .", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000271:16:2:1", "surface": "disaggregated data", "start": 932, "end": 950, "luna": 1, "luna_split": false, "head_score": 0.824784517288208, "extractor_score": 0.8404660820960999, "band": "keep"}, {"key": "reliefweb:000271:16:2:2", "surface": "disaggregated data by AGD", "start": 1506, "end": 1531, "luna": 1, "luna_split": false, "head_score": 0.5086052417755127, "extractor_score": 0.5142083168029785, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * Independent Evaluation Group ( IEG ) * * Implementation Completion Report ( ICR ) Review Ethiopia UIIDP ( P163452 ) This indicator was monitorable and related to the revenue mobilization ( through own-source revenue ) efforts of the eligible ULGs . This indicator is directly related to the sustainability of the urban infrastructure and is rated as substantial . * * Rating * * Substantial # * * DLI 9 * * * * DLI * * DLI # 9 . Regional Public Procurement and Property Administration Agencies ( RPPAA ) had conducted timely and quality procurement audit of eligible ULG ' s accounts and performance . * * Rationale * * This indicator was intended to ensure that the regional public procurement agencies conduct timely and quality procurement audits of eligible ULGs accounts . The indicator was monitorable . The indicator is rated as substantial . * * Rating * * Substantial # * * DLI 10 * * * * DLI * * DLI # 10 . Strengthening institutional performance , infrastructure and service delivery , maintenance and job creation for 44 ULGs . * * Rationale * * The team clarified that DLI was a legacy DLI , grounded in historical performance data from the 2017 / 18 Annual Performance Assessment ( APA ) . This DLI guaranteed the sustainability of previously attained results , The legacy DLI was vital for the 44 ULGs to ensure performance consistency , while new ULGs , due to their early-stage capacity , were not considered under this DLI . This DLI was monitorable . Since this DLI would help the 44ULGs to show sustained improvements in urban governance and infrastructure development achieved over time , this DLI is rated as substantial . * * Rating * * Substantial OVERALL RELEVANCE DLI TBL # * * OVERALL RELEVANCE RATING * * * * Rationale * * Page 8 of 16", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:003596:7:0:0", "surface": "historical performance data", "start": 1121, "end": 1148, "luna": 1, "luna_split": false, "head_score": 0.2953135371208191, "extractor_score": 0.9484128355979919, "band": "confusion"}, {"key": "fcv_pads_east_africa:003596:7:0:1", "surface": "2017 / 18 Annual Performance Assessment", "start": 1158, "end": 1197, "luna": 1, "luna_split": false, "head_score": 0.8918108940124512, "extractor_score": 0.35767513513565063, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "Figure A1 . Gender gaps in rate of work stoppage by country Source : Authors \u2019 calculations based on HFPS . Notes : Dark ( light ) colors indicate that the difference between groups is ( not ) statistically significant at 5 % level or less . Figure A2 . Age gaps in rate of work stoppage by country Source : Authors \u2019 calculations based on HFPS . Notes : Dark ( light ) colors indicate that the difference between groups is ( not ) statistically significant at 5 % level or less . 44", "n": 1, "band": "keep", "mentions": [{"key": "prwp:000520:45:0:0", "surface": "HFPS", "start": 101, "end": 105, "luna": 1, "luna_split": false, "head_score": 0.8921819925308228, "extractor_score": 0.5875446796417236, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 19 . Tertiary education and corresponding * * * * occupational groups shares * * * * Chart 20 . Ukrainian refugees median net wages by * * * * educational attainment * * 4 , 300 4 , 275 Analysis of the impact of refugees from Ukraine on the economy of Poland country-specific knowledge and business networks ) are more difficult to address than others ( such as language skills and occupational licensing ) . However , if the gap was narrowed by half , the average wage of refugees would increase by approximately 10 % . Assuming that the productivity increase is equivalent to the wage increase , this would result in PLN 3 . 5 billion of added * * Addressing occupational downgrading * * * * could bring macroeconomic benefits . * * To demonstrate the potential impact , a simulation was conducted in which the underrepresentation of refugees in higher-paying occupations was reduced by half . It was not assumed that there would be no differences between refugees and Polish citizens , as some barriers ( such as 40 % Tertiary education share 25-64 age group surveys Managers , professionals , and technicians ZUS-insured employment share # # # # * * 4 . 2 Access to regulated professions * * natives and this gap was largest for men , workers in the highest education level , and nonnaturalized immigrants . This has an important impact on wages , because , as showed in a seminal work by Kleiner and Krueger ( 2013 ) and confirmed in several analyses , working in a regulated profession comes with a significant wage premium . Br\u00fccker et al . ( 2021 ) , who analysed German data , found that occupational recognition led to full convergence of immigrants \u2019 earnings to those of their native counterparts . Tani ( 2020 ) found that in Australia , licensing raised hourly value to the economy . This estimate may underestimate the potential benefits , as the boost in productivity would most likely rise not just employee wages , but employer profits as well", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:14:0:0", "surface": "25-64 age group surveys", "start": 1129, "end": 1152, "luna": 0, "luna_split": false, "head_score": 0.8011991381645203, "extractor_score": 0.7873249053955078, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:0:1", "surface": "German data", "start": 1655, "end": 1666, "luna": 1, "luna_split": false, "head_score": 0.8549239635467529, "extractor_score": 0.8997873663902283, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "model will introduce and maintain a minimum standard of quality for a lower secondary education school and develop schools as safe learning spaces . 33 . * * Approach to targeting sub-counties * * : - There are 135 districts in Uganda ( as of 2016 ) , including 13 refugee hosting districts ( RHDs ) . The Project will target sub-counties in 96 districts with low enrollment rates , high unsatisfied demand for lower secondary education , and no public secondary school . All RHDs will be supported under the Project . - The Project will also include 84 non-refugee hosting local governments ( LG ) . The 84 LG were selected using the following approach . First , only LGs which have sub-counties without a public secondary school ( \u201c underserved subcounty \u201d ) were considered as Uganda implements one-public-school-per-subcounty policy . There are 90 such LGs . Second , the LGs which do not have enough primary feeder schools in underserved sub-counties were removed . Based on the current primary to secondary transition patterns and experience from private sector constructing new secondary schools , a minimum of seven primary schools are required to provide sufficient number of graduates to feed in a new large ( eight classrooms , two stream ) lower secondary school . Thus , six LG were removed from the list brining the final number to 84 LG . - Unfortunately , enrollment data is not available on sub-county level . Thus , the demand assessment used district / LG level information as a proxy . In 70 out of 84 selected LGs , the GER is below average for Uganda , and in 14 districts it exceeds the average . However , while the GER for the district as a whole is higher than expected , there are sub-counties / areas in these districts which provide limited opportunities for continuing education in secondary schools and unsatisfied demand for lower secondary education is high . The demand for each subcounty will be established and verified during the", "n": 2, "band": "confusion", "mentions": [{"key": "sample:jdc_operational:000018:22:1:0", "surface": "enrollment data", "start": 1372, "end": 1387, "luna": 1, "luna_split": false, "head_score": 0.6720389723777771, "extractor_score": 0.9223456382751465, "band": "keep"}, {"key": "sample:jdc_operational:000018:22:1:1", "surface": "district / LG level information", "start": 1461, "end": 1492, "luna": 1, "luna_split": false, "head_score": 0.5753400921821594, "extractor_score": 0.926074206829071, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* Popular Benchmarks * * children . * * * * Project * * * * Development * * * * Outcome * * * * / * * * * Impact * * * * Project reports : * * * * ( from * * * * Objective * * * * to Goal ) * * * * Objective : * * * * Indicators : * * * * Assist * * * * war affected * * - Improved social capital and - Initial Social Assessment - Communities in the NSAP * * communities * * * * to restore * * organizational development ; ( to establish indicators and target areas are assisted to * * infrastructure , * * * * services * * * * and * * - Increased access to and use methodologies for social ensure a reduced risk of * * build * * * * local * * * * capacity for * * of social and economic capital and organizational conflict * * collective * * * * action . * * Priority infrastructure and services development ) will be given to areas not - Proportion of NSAP - Annual social assessments ; - NACSA complements and previously serviced by investments targeted to newly - NaCSA M & E data ; extends the work of other government , newly accessible accessible areas , & areas - M & E data of relevant line agencies and rninistries and the most vulnerable previously not served , and mninistries ; in support of the PRSP ' s population groups within those vulnerable people within these - Beneficiary Assessment poverty reduction and areas . areas ; ( BAs ) biannually ; decentralization objectives - Proportion of sub-projects - Participatory evaluation that reflect priorities of reports for a random sample of - NACSA is fully integrated targeted communities and assisted conmmunities ; into national planning and beneficiaries ; and - Technical audits resource allocation - Proportion of sub-projects frameworks ( such as the operative 24emonths after National Recovery Strategy , corpletion . the PRSP , and", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000013:29:1:0", "surface": "NaCSA M & E data", "start": 968, "end": 984, "luna": 1, "luna_split": false, "head_score": 0.1242695152759552, "extractor_score": 0.9795736074447632, "band": "confusion"}, {"key": "refugee_pads:000013:29:1:1", "surface": "M & E data", "start": 1072, "end": 1082, "luna": 0, "luna_split": false, "head_score": 0.35614731907844543, "extractor_score": 0.8056589365005493, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "anxiety and impatience towards what they perceive as a protracted refugee crisis . According to a Lebanese woman from Ghaziyeh in Southern Lebanon , \u201c Lebanon will not be able to accommodate these large numbers ; we are also afraid of the security situation because as the Syrian numbers grow , problems increase . \u201d < sup > 42 < / sup > However , some milder perceptions expressed by Lebanese are also noteworthy and reflected a certain degree of empathy . Quantitative data are inconclusive on this point . Qualitative data on the other hand give more cues as more positive attitudes toward refugees were expressed during most focus group discussions with Lebanese . However , these views were generally overcome by growing fears of loss of livelihoods combined with political differences . The base for sympathy and empathy exists but is overshadowed by the extreme pressure on infrastructure and livelihood . According to a woman from Miyeh w Miyeh , \u201c We were once refugees , and we understand the suffering . \u201d < sup > 43 < / sup > Lebanese and Syrian communities are well aware of the commonalities that tie them together , including language , customs , and at times , even kinship . However , despite this awareness , evidence solicited from the indicators described below reveals a prevalence of antagonism in the perception of the \u201c other . \u201d The level of sensitivity and apprehension between the two communities is on the rise and requires urgent intervention to diffuse the rising tension . * * _Figure 3_ * * * * _In what areas do Syrian / Lebanese tend to be more separated ? _ * * _facebook . com / _ * * _sfcg . lebanon_ * * _twitter . com / _ * * _sfcg_lebanon_ * * * * _Understanding differences_ * * _Haddad Building \u2022 Block B \u2022 2nd Floor \u2022 Ghazaliye Street \u2022 Sioufi \u2022 Achrafieh \u2022 Beirut \u2022 Lebanon_ * * _acting on commonalities_ * * _Telephone_ _ +", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000273:11:2:0", "surface": "Quantitative data", "start": 458, "end": 475, "luna": 1, "luna_split": false, "head_score": 0.44833606481552124, "extractor_score": 0.8745176792144775, "band": "keep"}, {"key": "reliefweb:000273:11:2:1", "surface": "Qualitative data", "start": 509, "end": 525, "luna": 1, "luna_split": false, "head_score": 0.4314146637916565, "extractor_score": 0.8515353798866272, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Greater Kampala Metropolitan Area Urban Development Program ( P175660 ) * * ANNEX 1 : RESULTS * * * * COUNTRY : Uganda * * * * Greater Kampala Metropolitan Area Urban Development Program * * | Improved the institutional capacity for metropolitan coordination and management | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 | Col8 | Col9 | | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | - - - | | Indicator Name | Baseline | Baseline | Actual ( Previous ) | Actual ( Previous ) | Actual ( Current ) | Actual ( Current ) | Closing Period | Closing Period | | Indicator Name | Result | Month / Year | Result | Date | Result | Date | Result | Month / Year | | Revise GKMA sub-nationals with < br > strengthened institutional < br > performance for service delivery , < br > including climate resilience project < br > designs ( Percentage ) | 0 | Jan / 2022 | 52 . 50 | 31-Mar-2026 | 52 . 50 | 31-Mar-2026 | 90 | Jun / 2029 | | Revise GKMA sub-nationals with < br > strengthened institutional < br > performance for service delivery , < br > including climate resilience project < br > designs ( Percentage ) | Comments on achieving targets | Comments on achieving targets | Interim data as of March 31 , 2026 . The indicator is on-track , expected to exceed the 70 % target by June 30 , < br > 2026 , by 10 % and will be verified under APA4 by IVA . | Interim data as of March 31 , 2026 . The indicator is on-track , expected to exceed the 70 % target by June 30 ,", "n": 1, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:003604:20:0:0", "surface": "Interim data", "start": 1206, "end": 1218, "luna": 0, "luna_split": false, "head_score": 0.3859316110610962, "extractor_score": 0.7729678153991699, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "s that come close at the national level may differ significantly at more disaggregated levels . Following de Bellefon et al . ( 2018 ) , we use the Jaccard similarity index to measure the extent to which urban areas predicted by two different approaches overlap . A Jaccard index is the ratio between the size of the intersection of the urban areas predicted by two approaches and the size of the union of the two urban areas . When considering the full set of covariates , the average Jaccard index across approaches is 0 . 83 when size is measured in terms of surface , and 0 . 94 when it is measured in population terms . These results reveal a high coincidence in the delineation of the urban extent by our methodology even at disaggregated levels . However , predictions are more volatile when relying exclusively on indicators from traditional or from modern data . For example , the average Jaccard index falls to 0 . 41 when measured by surface , and to 0 . 79 when measured by population , if the random forests prediction relies exclusively on modern data . _Urbanization by administrative category_ The similarity between our predicted urbanization rate for 2011 and the census estimate could hide important differences at subnational levels . To explore this possibility more systematically , we first reran the comparison for places falling under each of the seven administrative categories considered by the 2011 Census of India ( figure 6 ) . 26", "n": 1, "band": "keep", "mentions": [{"key": "prwp:000549:27:2:0", "surface": "modern data", "start": 858, "end": 869, "luna": 1, "luna_split": false, "head_score": 0.8134297132492065, "extractor_score": 0.5694640278816223, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "those of their native counterparts . Tani ( 2020 ) found that in Australia , licensing raised hourly value to the economy . This estimate may underestimate the potential benefits , as the boost in productivity would most likely rise not just employee wages , but employer profits as well . Conversely , the overall impact on wages might be lower , if increased worker competition reduced the average individual premium . wages and reduced over-education for migrants working in licensed jobs , while producing worse labour market outcomes for those who did not gain licensure . According to Peterson et al . ( 2014 ) , over the 1973 \u2013 2010 period , U . S . states with more stringent occupational licensing for migrant physicians received fewer new migrant physicians and struggled more with staffing shortages in healthcare . Aleksynska and Tritah ( 2013 ) quoted data that migrants in France were denied legal access to approximately 30 % of jobs in the country . Ukrainian refugees Polish citizens Source : Deloitte own elaboration based on mid-2024 SEIS UNHCR survey ( Ukrainian refugees \u2019 educational attainment ) , 2023 Eurostat Labour Force Survey Eurostat ( Polish citizens educational attainment ) , and mid-2024 ZUS administrative data ( occupational groups ) . Source : Deloitte own elaboration based on mid-2024 SEIS UNHCR survey ( Ukrainian refugees \u2019 educational attainment and median net wages ) , 2023 Eurostat Labour Force Survey Eurostat ( Polish citizens educational attainment ) , and mid-2024 ZUS administrative data ( occupational groups ) . * * Widespread occupational licensing * * * * is a serious obstacle to an efficient * * * * use of Ukrainian refugees \u2019 human * * * * capital . * * Poland has the third highest number of regulated professions among the 28 European Union member states , according to European Commission \u2019 s Regulated Professions Database . This can be a problem , as occupational licensing is cited in the literature among the reasons for occupational downgrading of migrants . Cassidy and Dacass ( 2021 ) found that in the United States , immigrants were significantly less likely to", "n": 5, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:14:1:0", "surface": "SEIS UNHCR survey", "start": 1053, "end": 1070, "luna": 1, "luna_split": false, "head_score": 0.9394878149032593, "extractor_score": 0.8136346936225891, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:1:1", "surface": "2023 Eurostat Labour Force Survey Eurostat", "start": 1121, "end": 1163, "luna": 1, "luna_split": false, "head_score": 0.9734969735145569, "extractor_score": 0.6325674057006836, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:1:2", "surface": "ZUS administrative data", "start": 1222, "end": 1245, "luna": 1, "luna_split": false, "head_score": 0.9310427904129028, "extractor_score": 0.7720757126808167, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:1:3", "surface": "SEIS UNHCR survey", "start": 1324, "end": 1341, "luna": 1, "luna_split": false, "head_score": 0.9438127875328064, "extractor_score": 0.528593122959137, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:1:4", "surface": "Regulated Professions Database", "start": 1854, "end": 1884, "luna": 1, "luna_split": false, "head_score": 0.8963541388511658, "extractor_score": 0.8257232904434204, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Uganda Secondary Education Expansion Project ( P166570 ) | Col1 | Col2 | Col3 | Col4 | ( about 590 , 000 ) and < br > 50 % of students < br > enrolled in private < br > schools ( about 322 , 000 ) < br > and students enrolled < br > in new schools . The < br > training of the teachers < br > will be done gradually : < br > 25 % trained in Y2 , 50 % < br > by Y3 , 75 % by Y4 and < br > 100 % by Y5 . Students < br > from the new schools < br > are included as well . | Col6 | | - - - | - - - | - - - | - - - | - - - | - - - | | Students benefiting from direct < br > interventions to enhance learning - < br > Female | | Same as for < br > the core < br > indicator < br > < br > | Same as for < br > the core < br > indicator < br > | < br > Same as for the core < br > indicator < br > | Same as for the core < br > indicator < br > | | Enrolment at public lower secondary < br > schools in targeted districts , girls | The indicator will measure < br > the number of female < br > students who will annually < br > enroll in public school in the < br > targeted districts ( 2017 is < br > the baseline year ) . < br > | < br > Measuremen < br > t will be < br > taken at < br > project < br > midterm and < br > end of < br > project . < br > | < br > EMIS < br > | Headcount < br > | MoES < br > | | Enrolment at", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000018:56:0:0", "surface": "EMIS", "start": 1280, "end": 1284, "luna": 0, "luna_split": false, "head_score": 0.12510517239570618, "extractor_score": 0.936557412147522, "band": "confusion"}, {"key": "jdc_operational:000018:56:0:1", "surface": "MoES", "start": 1313, "end": 1317, "luna": 0, "luna_split": false, "head_score": 0.048174064606428146, "extractor_score": null, "band": "drop"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "satisfied two or more rainy seasons ; - Progress reports submitted 2b . 3 100 % of houses benefit by implementing partners ; marginalized population - Beneficiary assessments groups ( female headed - NaCSA M & E data households , disabled and their families ) ; and 2b . 4 100 % of beneficiaries were selected by beneficiary communities . * * 3 . * * Proiect Management and Innovative Activities - NaCSA administrative data - Qualified implementing - Capacity building event partners available to provide * * 3 ( a ) * * * * Capacities of * * assessments ; capacity building and IEC * * communities , * * * * chiefdomns , * * * * and * * 3a . 1 At least 5 successful - Participatory project activities at all levels ; * * district authorities to select , * * capacity building events completion reviews ; - A qualified full-time M & E * * implement and maintain * * carried out each year ; - IDA supervision missions specialist is provided to * * projects established * * * * and * * NaCSA by another donor * * strengthened * * agency * * 3 ( b ) * * * * Information , Education * * 3b . 1 At least 40 % of HHs are - Beneficiary assessments ; - Non-NSAP activities * * and Communication * * aware of program ; - NaCSA adrninistrative data ; undertaken by NaCSA do not 3b . 2 At least 60 % of chlefdom - IDA aide-memoires and detract from NaCSA ability to and district governments project status reports ; and implement project . aware of NSAP coverage , targeting , methodology , and results ; and 3b . 3 At least 30 % of general public aware of NSAP - Public opinion survey program and results . * * 3 ( c ) * * * * Performance * * * * of * * 3c . 1 M & E reports used for - NaCSA", "n": 3, "band": "confusion", "mentions": [{"key": "refugee_pads:000013:31:0:0", "surface": "NaCSA M & E data", "start": 200, "end": 216, "luna": 1, "luna_split": false, "head_score": 0.14586931467056274, "extractor_score": 0.9528638124465942, "band": "confusion"}, {"key": "refugee_pads:000013:31:0:1", "surface": "NaCSA administrative data", "start": 398, "end": 423, "luna": 1, "luna_split": false, "head_score": 0.33055442571640015, "extractor_score": 0.920191764831543, "band": "confusion"}, {"key": "refugee_pads:000013:31:0:2", "surface": "NaCSA adrninistrative data", "start": 1212, "end": 1238, "luna": 0, "luna_split": false, "head_score": 0.27245020866394043, "extractor_score": 0.8411489129066467, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "2023 Standardized Expanded Nutrition Survey ( SENS ) # # # # Background Violence in Rakhine State , Myanmar , which began on 25 August 2017 , drove more than 700 , 000 Rohingyas across the border to Cox \u2019 s Bazar , Bangladesh < sup > 2 < / sup > [ ^ 2 : < u > [ https : / / www . unhcr . org / rohingya-emergency . html ] ( https : / / www . unhcr . org / rohingya-emergency . html ) < / u > * Mega camps refer to 31 camps in Ukhiya and Teknaf hosting the unregistered refugees ] . Those fleeing the violence joined an estimated 200 , 000 people who had fled earlier waves of displacement . The pre-existing refugee camps ( Kutupalong and Nayapara Registered Camps and Kutupalong Mega Camps * ) were expanded to host the new influx , which put an immense strain on the existing infrastructure and humanitarian services . UNHCR , on behalf of the Nutrition Sector and partners , has been conducting annual nutrition surveys since the 2017 influx to monitor the health and nutrition situation in the camps . This report summarizes the 2023 SENS conducted from 2 < sup > nd < / sup > - 20 < sup > th < / sup > November 2023 led by UNHCR in collaboration with UNICEF and WFP ; implemented by Concern Worldwide with support from Action Against Hunger , Eco-Social Development Organization ( ESDO ) , Gonoshasthaya Kendra ( GK ) , Society for Health Extension and Development ( SHED ) and Social Assistance and Rehabilitation for the Physically Vulnerable ( SARPV ) . Approvals were sought from the National Nutrition Services ( NNS ) , the Refugee Relief and Repatriation Commissioner ( RRRC ) , and the Civil Surgeons \u2019 office in Cox \u2019 s Bazar . Technical support was provided by the Nutrition Sector Assessment and Information Management Technical Working Group . # # # # Survey Objectives The objectives of 2023 SENS were to determine the health and nutrition status of children aged 6-59 months and pregnant and lactating women 15-49 years . The main indicators collected included household demography , anthropometry , health , and nutrition indicators of children and women", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000281:3:0:0", "surface": "2023 Standardized Expanded Nutrition Survey", "start": 0, "end": 43, "luna": 1, "luna_split": false, "head_score": 0.7426230907440186, "extractor_score": 0.9121765494346619, "band": "keep"}, {"key": "reliefweb:000281:3:0:1", "surface": "annual nutrition surveys", "start": 898, "end": 922, "luna": 0, "luna_split": false, "head_score": 0.2808736264705658, "extractor_score": 0.45359185338020325, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "National Accounts . Consumption data is used to derive potential VAT , and < br > Government revenue collection data is used to ascertain actual VAT collections . The difference is the total VAT Gap , < br > from which the policy gap will be subtracted to arrive at the VAT compliance gap . | | Responsibility for Data < br > Collection | PMCSO ( MoR ) | | Improved Public Financial Management Capabilities | Col2 | | - - - | - - - | | * * Public availability of annual recurrent and capital budget execution reports and contract award information ( Text ) * * | * * Public availability of annual recurrent and capital budget execution reports and contract award information ( Text ) * * | | Description | Measures the extent to which budgetary , fiscal , and procurement information is publicly disclosed in a timely manner . | | Frequency | Annually | | Data source | Ministry of Finance Website and Federal Procurement and Property Administration Agency Website | | Methodology for Data < br > Collection | The Federal Government consistently makes available to the public : a ) the annual recurrent and capital budget < br > execution reports , and b ) contract awards information , through the MoF website and e-GP website respectively , < br > starting from EFY 2018 ( FY2025 / 26 ) . The quality and timeliness of budgetary and fiscal information will be assessed < br > using PEFA PI-5 ( Budget Documentation ) and PEFA PI-9 ( Public Access to Fiscal Information ) . The quality of < br > procurement information will be assessed using the Open Contracting Data Standard ( OCDS ) . | | Responsibility for Data < br > Collection | PMCSO ( MoF ) | | Beneficiary Citizen Feedback | Col2 | | - - - | - - - | | * * Increase in civil servant beneficiaries \u2019 experience with the quality of HRM practices ( Percentage ) * * | * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:fcv_pads_east_africa:004104:40:1:0", "surface": "Consumption data", "start": 20, "end": 36, "luna": 1, "luna_split": false, "head_score": 0.7508609294891357, "extractor_score": 0.8983103632926941, "band": "keep"}, {"key": "sample:fcv_pads_east_africa:004104:40:1:1", "surface": "Government revenue collection data", "start": 82, "end": 116, "luna": 1, "luna_split": false, "head_score": 0.5573019981384277, "extractor_score": 0.9330463409423828, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "Database on External Trade on container identifiers ( Foreign Trade Statistics of the General Directorate of Customs and Indirect Excises ) . We combine this with data provided by the Madagascan customs administration on import declarations from France ( labeled as country of provenance or origin ) over the period 2014-2016 . Unique features of the Madagascan data include : ( i ) declaration-item level measures of detailed transportation costs that we use to convert reported import Cost Freight and Insurance ( CIF ) values to import Free on Board ( FOB ) values as described in Section 2 . 3 ; ( ii ) tariffs paid by declaration-item ; information on the identity of both ( iii ) the importer , ( iv ) the inspector assessing the declaration and the broker submitting it on behalf of the importer . For each declaration , the customs database is complemented by data from GasyNet , a private-public-partnership that assists Madagas can customs with risk analysis , on a proprietary risk score , an inspection clearance channel recommendation , and the presence of a scan ( see Chalendard , Fernandes , Raballand , and Rijkers ( 2023 ) for details ) . Details on these data are provided in Appendix A1 . 2 . # # # # # # * * 2 . 2 Matching export and import declarations using container IDs * * The crucial feature of both customs databases is the presence of container identifiers ( here after \u2018 container IDs \u2019 ) which are used to match them . As common international practice , container IDs follow an ISO 6346 : 1995 norm ( hereafter \u2018 ISO 6346 \u2019 ) defined by the Interna tional Organization for Standardization ( ISO ) and managed by the Bureau of International Containers . Each container ID is unique and ISO 6346 is recognized by French and Madagas can customs in the process of identifying containers . < sup > 5 < / sup > Incentives to misreport container IDs are very limited since they are included in the bill", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000558:9:0:0", "surface": "Database on External Trade on container identifiers", "start": 0, "end": 51, "luna": 1, "luna_split": false, "head_score": 0.8319219350814819, "extractor_score": 0.7979433536529541, "band": "keep"}, {"key": "prwp:000558:9:0:3", "surface": "customs database", "start": 832, "end": 848, "luna": 1, "luna_split": false, "head_score": 0.8467884063720703, "extractor_score": 0.699002206325531, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "\u2019 s Regulated Professions Database . This can be a problem , as occupational licensing is cited in the literature among the reasons for occupational downgrading of migrants . Cassidy and Dacass ( 2021 ) found that in the United States , immigrants were significantly less likely to have a license than similar * * Chart 21 . Share of regulated professions by citizenship and legal status , Q2 2024 * * * * The educational premium seems * * * * to be lower for Ukrainian refugees * * * * compared to the general workforce * * * * in Poland . * * According to the SEIS survey , Ukrainian refugees with master \u2019 s and PhD degrees earn a 22 % higher median net wage than those with only secondary education . This appears to be a small gain , even accounting for the fact that , generally , the differences between median wages are less pronounced than between average wages ( which are pulled higher by top incomes ) and that our method of wage estimation based on SEIS household incomes < sup > 26 < / sup > [ ^ 26 : As described in chapter 2 , SEIS measures incomes on the household level . Using it to estimate individual wages likely underrepresents lowest and highest incomes . Details are available in the Online Technical Appendix . ] flattens the distribution . According to the most recent estimate in October 2022 , in the economy as a whole , the average gross wage of master \u2019 s and PhD degree holders was 84 % higher than those with only secondary education . < sup > 27 < / sup > [ ^ 27 : Note that the GUS ( 2024 ) data for the host population is not exactly comparable , as it does not include microenterprises , it covers an earlier period and focuses on gross and average wages . ] * * Most Ukrainian refugees work in * * * * a different sector than previously * * * * in Ukraine , which also points to * * * * occupational downgrading . * * The SEIS survey indicates that 34 % of Ukrainian refugees currently employed in Poland work in the same sector", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:14:2:0", "surface": "SEIS survey", "start": 562, "end": 573, "luna": 1, "luna_split": false, "head_score": 0.9282882809638977, "extractor_score": 0.7842074036598206, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:2:1", "surface": "SEIS household incomes", "start": 962, "end": 984, "luna": 1, "luna_split": false, "head_score": 0.8974803686141968, "extractor_score": 0.7656953930854797, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "br > trained in Child Friendly < br > School Program < br > Component 2 : all staff < br > trained in AEP < br > Component 3 : all < br > teachers , headteachers < br > and cluster staff < br > trained < br > | MoES < br > | | Grievances registered and addressed in < br > line with Grievance Redress Mechanism < br > | Data source : Grievance Log < br > Books , Grievance Redress < br > System Data Base , Quarterly < br > Grievance Redress Status < br > Reports | < br > Semi - < br > annually < br > | PCU / MoES < br > | < br > Administrative Data < br > | PCU / MoES < br > | Page 56 of 96", "n": 3, "band": "confusion", "mentions": [{"key": "jdc_operational:000018:61:1:0", "surface": "Grievance Log", "start": 334, "end": 347, "luna": 0, "luna_split": false, "head_score": 0.2894752323627472, "extractor_score": 0.9449000358581543, "band": "confusion"}, {"key": "jdc_operational:000018:61:1:1", "surface": "System Data Base", "start": 388, "end": 404, "luna": 1, "luna_split": false, "head_score": 0.08707652240991592, "extractor_score": 0.44552260637283325, "band": "confusion"}, {"key": "jdc_operational:000018:61:1:2", "surface": "Administrative Data", "start": 532, "end": 551, "luna": 0, "luna_split": false, "head_score": 0.04254216328263283, "extractor_score": 0.8032146096229553, "band": "drop"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "- must also comply with the investment menu covering the GoU Transitional Development Grant ; - be consistent with the guidelines developed for the DDEG and the respective Sector Development Grants . 46 . The table below reflects the core changes to the DLI tables , whereas the full set of new DLIs , verification protocol and disbursement tables are included in annex 2 . DLIs 1-6 have been maintained but strengthened , whereas 7-8 are new DLIs targeting the sub-window for refugees and host communities . * * Table 7 : DLI status and revisions made under the AF * * < sup > 43 < / sup > [ ^ 43 : Please refer to annex DLI table for detailed breakdown of the DLIs per year . ] | & < br > disbursements ) < br > ( targets < br > DLIs < br > DLI 1 : < br > Program LGs < br > have met all < br > Program < br > Minimum < br > Conditions < br > DLI 2 : < br > Program LGs < br > have < br > strengthened < br > institutional < br > performance < br > DLI 3 : < br > Program LGs < br > have < br > implemented < br > Infrastructure < br > Action Plans < br > DLI 4 : < br > Program LGs < br > have < br > implemented < br > Institutional < br > Strengthening < br > Plans < br > DLI 5 : < br > MoLHUD has < br > executed < br > Performance < br > Improvement < br > Plans for < br > Program LGs < br > DLI 6 : < br > Program LGs < br > with Town < br > Clerks in Place < br > DLI 7 : Results < br > on physical < br > planning , land < br > tenure security < br > and urban < br > infrastructure < br > development < br > in Program |", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000014:25:0:0", "surface": "DLI tables", "start": 254, "end": 264, "luna": 0, "luna_split": false, "head_score": 0.24224743247032166, "extractor_score": 0.43890970945358276, "band": "confusion"}, {"key": "refugee_pads:000014:25:0:1", "surface": "annex DLI table", "start": 616, "end": 631, "luna": 0, "luna_split": false, "head_score": 0.34451547265052795, "extractor_score": 0.1704590767621994, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "* * Global Refugee Youth Consultations * * Final Report 31 Generate data and evidence on refugee youth to promote accountability to youth Humanitarian actors must gather quality disaggregated data on youth as well as on their needs , priorities , skills , and contributions ; this is essential for plan ning and designing youth programming and being accountable to youth . GRYC participants emphasised the importance of collecting and sharing accurate demographic data about youth in order to make youth and their needs more visible , enable better budgeting and planning for inclusive youth-focused programmes , and foster accountability . They also emphasised that young refugees themselves can play a key role in gathering data and evidence on youth in refugee contexts when given the support , training , and opportunity . * * Generating data on refugee youth * * * * and promoting accountability includes : * * - < sup > Collecting accurate disaggregated sex and age data on Refugee < / sup > Youth as a specific demographic category with distinct needs ; - < sup > Supporting Refugee Youth-led research , and youth-led evaluations < / sup > of programmes aimed at and including youth ; - < sup > Supporting ongoing research and the pursuit of evidence relevant < / sup > to developing effective youth-appropriate programmes and services for refugees ; - < sup > Assessing specific youth needs by consulting and mobilising < / sup > Refugee Youth wherever they are ; - < sup > Organising comprehensive campaigns to reach out to unregistered < / sup > Refugee Youth ; - < sup > Creating common open spaces for youth and humanitarian < / sup > actors to meet and listening to their voices to make youth programming relevant ; - < sup > Planning and budgeting in consultation with youth to ensure < / sup > transparency ; and - < sup > Encouraging donors to require disaggregated data on youth from < / sup > humanitarian actors . How can we work with youth if we", "n": 3, "band": "confusion", "mentions": [{"key": "sample:reliefweb:000282:32:0:0", "surface": "disaggregated data", "start": 178, "end": 196, "luna": 0, "luna_split": false, "head_score": 0.07122749835252762, "extractor_score": 0.7601178288459778, "band": "confusion"}, {"key": "sample:reliefweb:000282:32:0:1", "surface": "demographic data", "start": 452, "end": 468, "luna": 0, "luna_split": false, "head_score": 0.1304190754890442, "extractor_score": 0.8971838355064392, "band": "confusion"}, {"key": "sample:reliefweb:000282:32:0:2", "surface": "disaggregated sex and age data", "start": 946, "end": 976, "luna": 0, "luna_split": false, "head_score": 0.11956345289945602, "extractor_score": 0.879513144493103, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "s were built to manage the disposal of dead animals and medical waste ; ( viii ) out of 42 grievances recorded , 40 were resolved satisfactorily . Implementing agencies followed biosafety rules , including constructing incinerators for used needles and other medical and laboratory wastes . Several areas need improvement , including limited capacity at the Woreda levels , resistance to using PPE , delays in land acquisition and certification , waste management challenges , and inadequate monitoring due to security issues . Additionally , there is a lack of clear information on the E & S assessment and preparation of E & S risk instruments for Component B activities and activities during the CERC activation period . The rating remains * * Moderately Satisfactory * * with substantial risks . See Annex 6 for more detail . * * Procurement Performance * * The procurement performance has shown a slight upward trend , with the total estimated cost of planned and executed activities reaching USD 81 . 5 million . Completed procurement activities account for 32 . 5 % of the total planned , while pending activities make up 34 % , and those signed and under implementation represent 33 % . Key issues identified include : ( i ) Need for a comprehensive assessment and expedited implementation of pending and new procurement activities ; ( ii ) Significant variance between reported procurement performance and data in STEP due to delays in updating STEP ; ( iii ) Cancellation of an independent procurement audit , contrary to agreed procedures and the Bank \u2019 s advice ; ( iv ) Inconsistencies found in PPRs that need addressing to prevent future issues ; ( v ) Challenges in collecting procurement data in the Tigray region due to limited facilities and connectivity . Overall , procurement performance is rated as * * Moderately Satisfactory * * . * * Financial Management * * The mission observed good progress in timely and quality IFR submission , clearance of long-outstanding UN advances , and consecutive internal audit reviews . The existing system provides reasonable assurance that project funds are used for intended purposes , maintaining a rating of Moderately", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:004263:3:1:0", "surface": "data in STEP", "start": 1415, "end": 1427, "luna": 1, "luna_split": false, "head_score": 0.2965313196182251, "extractor_score": 0.9442741870880127, "band": "confusion"}, {"key": "fcv_pads_east_africa:004263:3:1:2", "surface": "procurement data", "start": 1692, "end": 1708, "luna": 0, "luna_split": false, "head_score": 0.152487650513649, "extractor_score": 0.8397327661514282, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "* * 1 . * * * * Introduction * * The shock associated with the COVID-19 pandemic has been large and persistent . As documented in Apedo-Amah et al . ( 2020 ) and Cirera et al . ( 2021 ) , the private sector has experienced a large , persistent negative impact on sales across all regions of the world . Most firms had still not recovered the levels of sales in 2019 more than a year after the beginning of the pandemic ( Cirera et al . , 2021 ) and some sectors are experiencing structural changes in the way products or services are produced and demanded . These changes and the associated reallocation of resources have already been identified in the data from the United States ( Barrero et al . , 2021 ) . A critical question for policy is how these changes will affect firm growth and aggregate produc tivity . Are surviving firms coming out stronger from the pandemic ? The answer to this question depends on many different channels that affect productivity , which in many cases are in opposing directions . For example , Harris and Moffat ( 2021 ) implemented a survey of UK firms and found that , on the one hand , 18 % of firms have stopped and 45 % reduced doing R & D but , on the other hand , 40 % of firms have increased ICT investments . Andrews et al . ( 2021 ) find a positive reallocation effect for three OECD countries , mainly driven by technology readiness to face the shock and the additional investments in technology . This paper explores firms \u2019 digitalization trends during the COVID-19 pandemic using a novel firm-level data set of 57 countries across three periods of time since the start of the pandemic . The paper identifies the digitalization effects on firms \u2019 resilience , differences in adoption , and changes in market share distribution . There are at least two forces associated with the pandemic , in opposite directions , driving the decision of businesses to invest in and expand the use of digital technologies . On the one hand ,", "n": 3, "band": "keep", "mentions": [{"key": "sample:prwp:000561:3:0:0", "surface": "data from the United States", "start": 653, "end": 680, "luna": 1, "luna_split": false, "head_score": 0.8416921496391296, "extractor_score": 0.9104476571083069, "band": "keep"}, {"key": "sample:prwp:000561:3:0:1", "surface": "survey of UK firms", "start": 1070, "end": 1088, "luna": 1, "luna_split": false, "head_score": 0.8386232256889343, "extractor_score": 0.9042778611183167, "band": "keep"}, {"key": "sample:prwp:000561:3:0:2", "surface": "firm-level data set of 57 countries", "start": 1537, "end": 1572, "luna": 1, "luna_split": false, "head_score": 0.9109753370285034, "extractor_score": 0.93308025598526, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "of workers \u2013 mostly made up of the youngest refugees who might not have worked back in Ukraine . Employment in one \u2019 s pre-displacement sector appears to boost the median net wage by about 6 % , when compared to those who switch fields \u2013 a back-of-the-envelope calculation puts their median net earnings at 89 % of the overall median . However , this likely overstates the true effect of staying in the same sector , since the higher-paid groups ( for example , the majority of IT specialists ) were more likely to remain in their original industry . * * Highly skilled Ukrainian refugees * * * * are likely to suffer from significant * * * * downgrading . * * With the median wages of Ukrainian refugees estimated at 84 % ( SEIS survey ) or 80 % ( NBP 2024 survey ) of the national median ( see chapter 2 ) , the difference for average wages may be even larger . This is because medians are insensitive to high earners who typically inflate average earnings . Such high earners may suffer significant downgrading considering the unfavourable occupational structure of Ukrainian refugees . There are many reasons to this , from occupational licensing to a high level of language fluency required by high-skill jobs . < sup > 28 < / sup > [ ^ 28 : Lessem and Sanders ( 2020 ) modelled immigrant wage growth in the United States , finding that in a counterfactual model eliminating barriers to occupational entry would lead to only small earnings increase for the average immigrant , but a substantial increase for the most highly skilled . ] Ukrainian refugees Pre-war Ukrainians Other foreigners Polish citizens Drivers ( truck , bus ) Teachers Medical professions ( physician , dentist , nurse , midwife ) Legal professions ( legal counsel , barrister , notary , bailiff ) Taxi drivers Others Source : Deloitte own elaboration based on ZUS data on June 30th 2024 . 26 As described in chapter 2 , SEIS measures incomes on the household level . Using it to estimate individual wages likely underrepresents lowest and highest incomes . Details are available in the Online Technical Appendix . 27 Note that the GUS ( 2024 ) data for", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:14:3:0", "surface": "SEIS survey", "start": 725, "end": 736, "luna": 1, "luna_split": false, "head_score": 0.8992169499397278, "extractor_score": 0.9108537435531616, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:3:1", "surface": "NBP 2024 survey", "start": 749, "end": 764, "luna": 1, "luna_split": false, "head_score": 0.8107914328575134, "extractor_score": 0.9241144061088562, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:3:2", "surface": "ZUS data", "start": 1837, "end": 1845, "luna": 1, "luna_split": false, "head_score": 0.940899670124054, "extractor_score": 0.8894289135932922, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:14:3:3", "surface": "SEIS", "start": 1897, "end": 1901, "luna": 1, "luna_split": false, "head_score": 0.7936057448387146, "extractor_score": 0.548098087310791, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Lebanon : Wheat supply emergency response project ( P178866 ) * * I . * * * * STRATEGIC CONTEXT * * * * A . Country Context * * 1 . * * The war in Ukraine has delivered a major shock to global commodity markets * * . In 2021 , Russia was the largest natural gas-exporting country in the world , and the second-largest crude oil and condensates-exporting country . Russia and Ukraine together represent between 25 and 30 percent of the global wheat market , while Russia ( and Belarus ) are also major exporters of fertilizers . The disruptions from the conflict ( sanctions , breakdowns in supply , etc . ) had an immediate impact on global fuel and food prices . Oil prices have increased by about 90 percent compared to March 2021 . Wheat prices have increased by 50 percent since early February 2022 and 80 percent since March 2021 , and they are now at an all-time high . The cutoff of exports from Russia and Ukraine poses an immediate threat to major wheat-consuming countries with high shares of wheat imports from Russia and / or Ukraine . 2 . * * Lebanon is heavily dependent on wheat imports , most of which came from Ukraine and Russia before * * * * the crisis * * . A country with limited agronomic potential for wheat production , Lebanon imports about 80 percent of all the wheat it consumes . In the years preceding the conflict , Lebanon has been importing about 580 thousand tons of wheat annually ( 2018-2020 average , COMTRADE ) for a yearly trade value of US $ 134 million ( 2018-2020 average , COMTRADE ) . In 2020 , 96 percent of Lebanon \u2019 s wheat imports were sourced from Ukraine ( 80 percent of total wheat imports ) , and Russia ( 16 percent of total wheat imports ) , respectively . 3 . * * The conflict comes at a time when Lebanon has been grappling with the direst of shocks * * , starting", "n": 1, "band": "keep", "mentions": [{"key": "jdc_operational:000019:11:0:0", "surface": "COMTRADE", "start": 1461, "end": 1469, "luna": 1, "luna_split": false, "head_score": 0.8787372708320618, "extractor_score": 0.8652030229568481, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "satisfied two or more rainy seasons ; - Progress reports submitted 2b . 3 100 % of houses benefit by implementing partners ; marginalized population - Beneficiary assessments groups ( female headed - NaCSA M & E data households , disabled and their families ) ; and 2b . 4 100 % of beneficiaries were selected by beneficiary communities . * * 3 . * * Proiect Management and Innovative Activities - NaCSA administrative data - Qualified implementing - Capacity building event partners available to provide * * 3 ( a ) * * * * Capacities of * * assessments ; capacity building and IEC * * communities , * * * * chiefdomns , * * * * and * * 3a . 1 At least 5 successful - Participatory project activities at all levels ; * * district authorities to select , * * capacity building events completion reviews ; - A qualified full-time M & E * * implement and maintain * * carried out each year ; - IDA supervision missions specialist is provided to * * projects established * * * * and * * NaCSA by another donor * * strengthened * * agency * * 3 ( b ) * * * * Information , Education * * 3b . 1 At least 40 % of HHs are - Beneficiary assessments ; - Non-NSAP activities * * and Communication * * aware of program ; - NaCSA adrninistrative data ; undertaken by NaCSA do not 3b . 2 At least 60 % of chlefdom - IDA aide-memoires and detract from NaCSA ability to and district governments project status reports ; and implement project . aware of NSAP coverage , targeting , methodology , and results ; and 3b . 3 At least 30 % of general public aware of NSAP - Public opinion survey program and results . * * 3 ( c ) * * * * Performance * * * * of * * 3c . 1 M & E reports used for - NaCSA", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000016:31:0:1", "surface": "NaCSA administrative data", "start": 398, "end": 423, "luna": 1, "luna_split": false, "head_score": 0.33055442571640015, "extractor_score": 0.920191764831543, "band": "confusion"}, {"key": "refugee_pads:000016:31:0:2", "surface": "NaCSA adrninistrative data", "start": 1212, "end": 1238, "luna": 1, "luna_split": false, "head_score": 0.27245020866394043, "extractor_score": 0.8411489129066467, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "enforcer le plaidoyer et soutenir les initiatives \u00e0 base communautaire pour limiter l \u2019 impact d \u2019 une assistance inexistante dans certaines zones . De m\u00eame qu \u2019 il exploite les donn\u00e9es issues du monitoring de protection , du GBV-IMS et du m\u00e9canisme de redevabilit\u00e9 pour analyser en profondeur les tendances des contraintes d \u2019 acc\u00e8s . Ces analyses permettent de formuler des messages cl\u00e9s destin\u00e9s \u00e0 l \u2019 EHP , afin de guider ses d\u00e9cisions et ses actions de plaidoyer . * * < u > D\u00c9FIS ET ACTIONS LI\u00c9S \u00c0 L \u2019 ACC\u00c8S < / u > * * L \u2019 acc\u00e8s humanitaire repr\u00e9sente le d\u00e9fi majeur pour la r\u00e9ponse humanitaire dans la province du Lac ; suite \u00e0 des missions et rapports d \u2019 acteurs intervenant dans les sous-pr\u00e9fectures de * * Tchoukoutalia , Ngouboua , de Kaiga Kindjiria , de Bol rurale , de * * * * Kangalam * * ( OCHA ) . Plusieurs obstacles majeurs ont \u00e9t\u00e9 relev\u00e9s , notamment l \u2019 enclavement de certaines localit\u00e9s , la pr\u00e9sence d \u2019 engins explosifs improvis\u00e9s , les incursions et les actes de banditisme et de criminalit\u00e9 sur les axes routiers , pistes ou routes . Ces facteurs limitent consid\u00e9rablement les mouvements de populations et compromettent leur r\u00e9silience . A cela s \u2019 ajoute , les effets de la crise s\u00e9curitaire marqu\u00e9e par la pr\u00e9sence et l \u2019 activisme des GANE surtout dans la province Lac qui ont conduit les autorit\u00e9s provinciales \u00e0 instaurer des interdictions d \u2019", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000315:8:1:1", "surface": "GBV-IMS", "start": 226, "end": 233, "luna": 1, "luna_split": false, "head_score": 0.8389155268669128, "extractor_score": 0.9214487671852112, "band": "keep"}, {"key": "reliefweb:000315:8:1:2", "surface": "m\u00e9canisme de redevabilit\u00e9", "start": 240, "end": 265, "luna": 1, "luna_split": false, "head_score": 0.40817973017692566, "extractor_score": 0.9357655048370361, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "achieving targets | Comments on < br > achieving targets | Percent of Grade 3 students meeting higher order competencies in literacy ( Level 4 ) . Level 4 < br > as per KNEC is defined as : \" Reading for meaning : ( a ) links and interprets information located < br > in various parts of a short passage ; and ( b ) understands and interprets the meaning of a < br > picture and writes short sentences to describe the theme . The baseline are calculated for < br > the specific target counties ( lowest quintiles , including refugee and host communities ) . < br > NASMLA grade 3 midline study data collection exercise was conducted in June 2024 . KNEC is < br > generating the baseline from the MLP 2022 national assessment for grade 3 ( including < br > refugee learners ) to compare with the midline , analyzing the sampling frame first and using < br > reading comprehension for literacy . This indicator will be updated in October after MTR < br > mission . | Percent of Grade 3 students meeting higher order competencies in literacy ( Level 4 ) . Level 4 < br > as per KNEC is defined as : \" Reading for meaning : ( a ) links and interprets information located < br > in various parts of a short passage ; and ( b ) understands and interprets the meaning of a < br > picture and writes short sentences to describe the theme . The baseline are calculated for < br > the specific target counties ( lowest quintiles , including refugee and host communities ) . < br > NASMLA grade 3 midline study data collection exercise was conducted in June 2024 . KNEC is < br > generating the baseline from the MLP 2022 national assessment for grade 3 ( including < br > refugee learners ) to compare with the midline , analyzing the sampling frame first and using < br > reading comprehension for literacy . This indicator will be updated in October after MTR < br > mission . | Percent of Grade 3 students meeting higher order competencies", "n": 2, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:004664:10:2:0", "surface": "NASMLA grade 3 midline study data collection exercise", "start": 565, "end": 618, "luna": 0, "luna_split": false, "head_score": 0.6602039933204651, "extractor_score": 0.1370052844285965, "band": "keep"}, {"key": "fcv_pads_east_africa:004664:10:2:3", "surface": "MLP 2022 national assessment", "start": 696, "end": 724, "luna": 1, "luna_split": false, "head_score": 0.8568989634513855, "extractor_score": 0.8857900500297546, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "an individual-level panel data set of exposure to violent conflict events and labor allocation . Second , we discuss some descriptive statistics which characterize our study sample . Third , we specify our core identification strategy and discuss the interpretation of our preferred estimates . Finally , we discuss the potential consequences of sample attrition and discuss how we address these concerns . * * 3 . 1 * * * * Data * * We combine two detailed panel datasets . The first set of data is from the Nigeria General Household Survey ( GHS ) , which is a product of the Nigeria Bureau of Statistics and the World Bank \u2019 s Living Stan dard Measurement Study ( LSMS ) . < sup > 23 < / sup > The GHS was conducted over four rounds in 2010 \u2013 2011 , 2012 \u2013 2013 , 2015 \u2013 2016 , and 2018 \u2013 2019 , and each survey round includes two data points for each household : one in the post-planting ( rainy season ) period and one in the post-harvest ( dry season ) period , regardless of whether the household engages in agricultural activities . Data collection in the post-planting period generally occurs in the later fall months , while fieldwork in the post-harvest season occurs within the first few months of the next year . Figure 2 illustrates the timing of GHS survey rounds and shows how these data collection periods correspond with the trend in herder-related violence in Nigeria . The GHS is designed to include a nationally ( and zonally ) representative set of enumeration areas , 23These data ( and all documentation ) were accessed via the World Bank \u2019 s microdata catalog . Data were downloaded on November 8 , 2019 . 8", "n": 2, "band": "keep", "mentions": [{"key": "sample:prwp:000572:10:1:0", "surface": "Nigeria General Household Survey", "start": 509, "end": 541, "luna": 1, "luna_split": false, "head_score": 0.9201198816299438, "extractor_score": 0.8775665760040283, "band": "keep"}, {"key": "sample:prwp:000572:10:1:1", "surface": "Living Stan dard Measurement Study", "start": 630, "end": 664, "luna": 1, "luna_split": false, "head_score": 0.8983927965164185, "extractor_score": 0.8157954216003418, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "fell into the last two categories ( GUS , 2024 ) . However , to become promoted to an appointed or chartered teacher , a foreigner must possess Polish , EU , Swiss , or other EEA citizenship ( Babakova et al . , 2024 ) . In effect , only 0 . 4 % of Ukrainian refugees were teachers ( ZUS-registered in mid-2024 ) compared to 2 . 2 % of Polish citizens . There were more teachers \u2019 assistants , who are not regulated , than actual teachers . Furthermore , the data presented in chapter 2 shows that the median net wages of Ukrainian refugees in the teaching profession are just PLN 3 , 500 , constituting 66 % of what the host population earns , the lowest earnings of all sectors . * * Occupational licensing rules regarding * * * * citizenship have been relaxed for * * * * medical professions in the wake of * * * * the COVID-19 pandemic in 2020 and in * * * * February 2022 , but those were often * * * * makeshift arrangements . * * According to the Babakova et al . ( 2024 ) report , during the COVID-19 pandemic , practicing medical professionals from Ukraine were allowed # # # # * * 4 . 3 Language wage premium * * English for Speakers of Other Languages programme in Massachusetts . The policy targeted all immigrants , including those who had lived in Massachusetts for several years , with data for 2008 \u2013 2016 and 4 , 700 individual lottery applicants . Authors found a causal effect , with annual earnings increasing by USD 2 , 400 . These earnings gains generated additional tax revenue that produced a 6 % return for taxpayers . Schmid ( 2023 ) studied African refugees who applied for asylum in Switzerland between 2008 and 2017 . He exploited the random assignment of refugees to French , German , and Italian cantons , as well as their prior language knowledge ( e . g . French speakers placed in French or German speaking cantons ) . The results showed that", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:15:1:0", "surface": "data presented in chapter 2", "start": 459, "end": 486, "luna": 1, "luna_split": false, "head_score": 0.8633788824081421, "extractor_score": 0.6377263069152832, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:15:1:1", "surface": "data for 2008 \u2013 2016", "start": 1301, "end": 1321, "luna": 0, "luna_split": false, "head_score": 0.6830633878707886, "extractor_score": 0.9196237921714783, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Lebanon : Wheat supply emergency response project ( P178866 ) 5 . * * Monetary and financial turmoil , along with surging inflation , continue to drive crisis conditions . * * The exchange rate further deteriorated in 2021 , with the US dollar banknote rate depreciating by 211 percent year on year ( yoy ) over the first 11 months of 2021 , repeatedly breaching the LBP 22 , 000 / US $ threshold . This situation occurred within a multiple-exchange-rate system that also includes the official rate of LBP 1 , 507 . 5 / US $ , and the Central Bank of Lebanon ( _Banque du Liban_ , BdL ) administered lower rates . Overall , the World Bank Average Exchange Rate depreciated by 219 percent yoy over 11 months of 2021 . Exchange rate pass-through effects have implied surging inflation , which is estimated to average 150 percent in 2021 \u2014 the third highest globally after Venezuela and Sudan ( Lebanon Economic Monitor [ LEM ] , Fall 2021 ) . After falling to 101 percent yoy by June 2021 , inflation rose again to 174 percent yoy in October 2021 . The surge since June 2021 is linked to the steady removal of the foreign exchange subsidy on imported goods and inflation recorded a further spike at 240 percent yoy in January 2022 . 6 . * * While the average annual inflation rose to 85 percent in 2020 , the average food inflation alone grew by * * * * a record 250 percent over 2019 . * * Between January 2021 and January 2022 , the average yoy inflation rate reached 157 percent , with a corresponding food inflation rate of 328 percent . Since the removal of foreign exchange subsidies , yoy food inflation has increased sharply , reaching 483 percent in January 2022 . This situation has dire consequences for the poor because food consumption forms a larger proportion of household expenses in poorer households . Phone surveys in May and July 2021 found that 46 percent of households reported challenges in accessing food and", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000019:12:0:0", "surface": "Lebanon Economic Monitor", "start": 915, "end": 939, "luna": 1, "luna_split": false, "head_score": 0.8829978108406067, "extractor_score": 0.8627684712409973, "band": "keep"}, {"key": "sample:jdc_operational:000019:12:0:1", "surface": "Phone surveys", "start": 1841, "end": 1854, "luna": 1, "luna_split": false, "head_score": 0.8508302569389343, "extractor_score": 0.9092686772346497, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "go beyond these modest efforts to create the critical mass o f regional programs and policies that can make a difference in their collective effort to stem the HIV / AIDS pandemic . Mobile populations , networks o f populations which are highly mobile and / or represent high risk when mobile ( PLWAs ) , harmonizing health policies , programs and services , and sharing epidemiological , behavioral and program data , all represent potentially significant mutual benefit . Great Lakes countries are particularly affected by the HIV / AIDS epidemic with more than _6_ million people living with HIV / AIDS out o f a total o f some 25 million in Sub-Saharan Africa ( UNAIDS , 2004 ) . It i s estimated that more than 3 million children have been orphaned or made vulnerable by HIV / AIDS in the GLIA countries . With already high levels o f HIV infection in the early 199Os , the situation has deteriorated over the past decade with massive displacement of populations , resulting from conflicts , genocide , natural disasters and difficult socio-economic conditions . Aggregated figures o f adults age 15-49 reflect prevalence rates range from 4 . 1 % to 8 . 8 % . By country it is Burundi ( 6 . 0 % ) ; DRC ( 4 . 2 % ) ; Kenya ( 6 . 7 % ) ; Rwanda ( 5 . 1 % ) ; Tanzania ( 8 . 8 % ) ; and Uganda ( 4 . 1 % ) ( December 2003 data provided in 2004 , UNAIDS ) . HIV / AIDS i s dramatically fueling the TB epidemic with up to 75 percent o f TB patients in some countries co-infected . As can be seen from the figure to the right the trend in HIV prevalence in Kenya mirrors closely the pattern o f new TB cases with roughly a five year lag . Co-infection i s a particularly serious problem amongst displaced populations in the region who are living in extremely difficult conditions . It i s likely that co-infection rates are relatively high amongst these groups", "n": 2, "band": "keep", "mentions": [{"key": "sample:refugee_pads:000021:4:1:0", "surface": "epidemiological , behavioral and program data", "start": 371, "end": 416, "luna": 0, "luna_split": false, "head_score": 0.5220310688018799, "extractor_score": 0.910167396068573, "band": "keep"}, {"key": "sample:refugee_pads:000021:4:1:1", "surface": "December 2003 data", "start": 1311, "end": 1329, "luna": 0, "luna_split": false, "head_score": 0.8057535886764526, "extractor_score": 0.9148104786872864, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "By providing legal information to communities about their rights and by offering counselling and representation to their clients throughout the application and registration process , legal actors effectively address some of the main challenges faced by IDPs and returnees . Legal actors have also developed specific interventions to try to address the inability to access CADs and Courts due to physical distance , cost of transportation and / or restrictions on freedom of movement . To this end , many partners provide financial support to their clients not only to cover legal fees , but also to cover the cost of transportation to access the relevant public institutions . In addition , for IDPs unable to return to their areas of origin to submit an application to the CAD under which they are registered or to follow-up on a Court case , legal actors have at times been able to utilize a Power of Attorney to represent their clients in their absence . However , as previously noted , the Power of Attorney is often not accepted by Courts and CADs across the country ( see section 2 . 2 . 2 ) * * In focus : Mobile missions to issue identity and civil documentation * * IDPs in the remaining camps in Federal Iraq and in the Kurdistan Region of Iraq are most affected by the lack of identity and civil documentation . Based on the MCNA IX , it is estimated that 28 % of IDPs in camps miss at least one key document , compared to 24 % for IDPs out-of-camps and 16 % of returnees ( see section 3 . 1 . 2 . ) . The restrictions on their freedom of movement are more severe and therefore their ability to access CADs is significantly lower . Protection monitoring data indicates that 28 % of KIs in camps report that their level of access to CADs is bad or very bad , compared to 20 % for KIs in return areas and 16 % for KIs in displacement locations out of camps . Mobile missions organized in coordination with the Ministry of Interior ( MoI ) as well", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000342:12:1:0", "surface": "MCNA IX", "start": 1336, "end": 1343, "luna": 1, "luna_split": false, "head_score": 0.913000762462616, "extractor_score": 0.9526127576828003, "band": "keep"}, {"key": "reliefweb:000342:12:1:1", "surface": "Protection monitoring data", "start": 1643, "end": 1669, "luna": 1, "luna_split": false, "head_score": 0.8982617855072021, "extractor_score": 0.9525982737541199, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "2024 | 1 , 000 | Oct / 2026 | | Senior government < br > officials receiving < br > training under the < br > project who are female < br > ( Number ) | Comments on < br > achieving targets | Comments on < br > achieving targets | Data from mission progress report of 30 Sept 2024 | Data from mission progress report of 30 Sept 2024 | Data from mission progress report of 30 Sept 2024 | Data from mission progress report of 30 Sept 2024 | Data from mission progress report of 30 Sept 2024 | Data from mission progress report of 30 Sept 2024 | | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | * * 4 . Project management * * | | Indicator Name | Baseline | Baseline | Actual ( Previous ) | Actual ( Previous ) | Actual ( Current ) | Actual ( Current ) | Closing Period | Closing Period | | Indicator Name | Value | Month / Year | Value | Date | Value | Date | Value | Month / Year | | Percentage of grievances < br > registered that receive an < br > adequate response within 30 < br > days ( Percentage ) | 0 . 00 | Oct / 2020 | 100 . 00 | 15-Apr-2024 | 100 . 00 | 15-Apr-2024 | 80 . 00 | Jun / 2027 | | Percentage of grievances < br > registered that receive an < br > adequate response within 30 < br > days ( Percentage ) | Comments on < br > achieving targets | Comments on < br > achieving targets | This indicator is based on the number of grievances or complaints received by the project", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:005056:7:4:2", "surface": "Data from mission progress report of 30 Sept 2024", "start": 231, "end": 280, "luna": 0, "luna_split": true, "head_score": 0.7951273918151855, "extractor_score": 0.8440172672271729, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "12 , 692 fulfilled the eligibility criteria . As explained above , and key to the integrity of the experimental design , baseline data was collected prior to assigning localities to the three treatment and control groups . The baseline questionnaire included simple variables on employment , assets , education , and household characteristics . The second public lottery took place in March 2016 . The list of the 5 , 116 selected beneficiaries was publicly released in each locality between July and September 2016 . < sup > 25 < / sup > 24The baseline instrument was designed by the research team . NGO staff were trained as enumerators . An independent team of experienced enumerators was hired to perform field supervision and data quality checks . A double-blind data-entry process was set-up . 25The lag between the second lottery and the release of the beneficiary lists was due to delays in the 13", "n": 2, "band": "confusion", "mentions": [{"key": "sample:prwp:000613:16:1:0", "surface": "baseline data", "start": 121, "end": 134, "luna": 0, "luna_split": false, "head_score": 0.3416590988636017, "extractor_score": 0.8659757971763611, "band": "confusion"}, {"key": "sample:prwp:000613:16:1:1", "surface": "beneficiary lists", "start": 860, "end": 877, "luna": 0, "luna_split": false, "head_score": 0.3834150433540344, "extractor_score": 0.19848428666591644, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "net wage of a Ukrainian refugee ( estimated based on the SEIS UNHCR survey in chapter 2 ) from 80 % to 98 % of the median in the economy as a whole ( or from 80 % to 93 % according to Ukrainian refugee \u2019 s median in the NBP \u2019 s 2024 survey ) , almost closing the gap to the economy as a whole in these terms . It is in fact higher than the PLN 500 median net wage premium of the pre-war Ukrainian migrants over Ukrainian refugees in the NBP ( 2024 ) survey , even though 68 % of the former and only 28 % of the latter said they had a high level of fluency in Polish . 31 professions ( physicians , dentists , nurses , and midwives ) have opened to migrants and refugees to reduce shortages , and while the shares for all of them stand at just 0 . 9 % compared to 1 . 9 % for Polish citizens , the gap is actually very narrow for physicians and dentists , who constitute 0 . 7 % of Ukrainian refugees and 0 . 8 % of Polish citizens . In legal professions ( legal counsels , barristers , notaries , and bailiffs ) , the gap remains wide , although in addition to occupational licensing , the likely causes may be the differences between the Polish and Ukrainian legal systems as well as new entrants \u2019 struggles with attracting clients due to advertising restrictions . In effect , just 0 . 02 % of Ukrainian refugees work in legal professions , compared to 0 . 4 % of Polish citizens . There are also high contrasts across the remaining regulated professions , which employ 0 . 8 % of Ukrainian refugees and 3 . 3 % of Polish citizens . These are construction engineers ( 0 . 02 % Ukrainian refugees ) , pharmacists ( 0 . 01 % ) , and psychologists ( 0 . 09 % ) , compared to the following shares for Polish citizens : 0 . 26 % , 0 . 19 % , and 0 . 18 % , respectively . * * One of the", "n": 3, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:15:3:0", "surface": "SEIS UNHCR survey", "start": 57, "end": 74, "luna": 1, "luna_split": false, "head_score": 0.9341148138046265, "extractor_score": 0.9227070808410645, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:15:3:1", "surface": "NBP \u2019 s 2024 survey", "start": 220, "end": 239, "luna": 1, "luna_split": false, "head_score": 0.9489387273788452, "extractor_score": 0.8930973410606384, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:15:3:2", "surface": "NBP ( 2024 ) survey", "start": 437, "end": 456, "luna": 1, "luna_split": false, "head_score": 0.9466512203216553, "extractor_score": 0.7418140172958374, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Lebanon : Wheat supply emergency response project ( P178866 ) percent by the end of 2019 , female labor force participation in Lebanon is one-third of the male labor force participation rate . Survey data shows that after the multiple crises affecting Lebanon , the share of job losses among women was notably higher than that among men , even though women comprise less than one-third of the total full-time workforce ( follow up to 2019 Enterprise Survey , 2020 ) . The crises have impacted women \u2019 s access to economic opportunities in different ways ; for example , school closures due to the COVID-19 pandemic have made it difficult for women to manage work and family care responsibilities , so some have exited from the economy . Furthermore , the lockdowns and closures due to the COVID-19 pandemic coupled with the broader economic crisis have exacerbated the risks of violence against women . During the first five months of the lockdown , significantly more reports of gender-based violence were captured and recorded by different sources . The Gender-Based Violence Information Management System recorded a 3 percent increase in intimate partner violence by current or former partners ; a 5 percent rise in physical assault incidents ; and a 9 percent uptick in incidents occurring in a survivor \u2019 s home ( UN Women , 2020 ) . 10 . * * Recurrent political paralysis and weak governance further complicate recovery . * * Lebanon is characterized by poor governance , with only 4 percent of Lebanese report being satisfied or completely satisfied with their government ( Arab Barometer ) . According to the World Bank \u2019 s Lebanon Economic Monitor ( LEM , Fall 2021 ) , elite capture persists despite the severity of the crisis , and it has come to threaten the country \u2019 s long-term stability and social peace . General elections are scheduled for May 15 , 2022 . Talks with the International Monetary Fund ( IMF ) have been relaunched with a mission in January , February , and March 2022 , aiming to develop a stabilization", "n": 5, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000019:13:0:0", "surface": "Survey data", "start": 216, "end": 227, "luna": 1, "luna_split": false, "head_score": 0.8737998604774475, "extractor_score": 0.8843886852264404, "band": "keep"}, {"key": "sample:jdc_operational:000019:13:0:1", "surface": "2019 Enterprise Survey", "start": 457, "end": 479, "luna": 1, "luna_split": false, "head_score": 0.8974438905715942, "extractor_score": 0.9372193217277527, "band": "keep"}, {"key": "sample:jdc_operational:000019:13:0:2", "surface": "Gender-Based Violence Information Management System", "start": 1079, "end": 1130, "luna": 1, "luna_split": false, "head_score": 0.9082610011100769, "extractor_score": 0.9306507110595703, "band": "keep"}, {"key": "sample:jdc_operational:000019:13:0:3", "surface": "Arab Barometer", "start": 1604, "end": 1618, "luna": 1, "luna_split": false, "head_score": 0.8952637314796448, "extractor_score": 0.8981809020042419, "band": "keep"}, {"key": "sample:jdc_operational:000019:13:0:4", "surface": "Lebanon Economic Monitor", "start": 1655, "end": 1679, "luna": 1, "luna_split": false, "head_score": 0.8680527210235596, "extractor_score": 0.8353066444396973, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "from one stage to another . It is also driven in part by the curriculum which is geared to preparing students for the French baccalaureate examnination and may be contextually difficult for Djiboutians from less educated families . * * 3 . Income and Gender Gaps in Enrollment Rates * * Even though the main constraint at present appears to be school places , there is already evidence of gender and income gaps which cannot be explained by lack of school places alone . These are expected to become more prominent over time as enrollment rates rise . According to the household expenditure survey data , in urban areas , the Net Enrollment Rate in Primary Enrollment is 50 % higher for the highest expenditure quintile compared to the lowest expenditure quintile . The inequity is even worse in secondary education ( lower secondary education is part of basic education but the survey data did not separate the two ) , where the NER of the highest quintile is 420 % higher than the NER of the lowest quintile . The problem in urban areas is access demand exists among all groups but the rationing of sets ends up benefiting the better off who live in areas where schools have historically been located . Any further expansion of places will help the poorer segments of the population more particularly if care is taken to site the schools in areas where the poor live . There are also significant gender gaps and research indicates that educated mothers play a key role in the country ' s overall development . There is a shortage of school places and any rationing works to the detriment of girls enrollment . Parents are less willing for their girls to attend school because in par . , they may view the curriculum as foreign . In addition , despite the fact the education is officially free , poor families still have difficulty paying the cost of books and materials . They prefer to use their constrained resources for their boys who they feel have a better labor market potential . Finally , the data from the Household Survey , showed that even if girls go to school , their parents pull them out at an", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000022:38:1:0", "surface": "household expenditure survey data", "start": 569, "end": 602, "luna": 1, "luna_split": false, "head_score": 0.9563918113708496, "extractor_score": 0.9034354090690613, "band": "keep"}, {"key": "refugee_pads:000022:38:1:1", "surface": "survey data", "start": 879, "end": 890, "luna": 1, "luna_split": false, "head_score": 0.900477409362793, "extractor_score": 0.6985632181167603, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "as well as relocation from Greece , Italy , Cyprus and Malta to other EU Member States . The present factsheet covers the period January to December 2022 , which provide up-to-date information on migrant and refugee children , including unaccompanied and separated children , who arrived via Mediterranean and Western African Atlantic routes in Europe . Jointly compiled and produced by : # # # # Limitation of available data on children and UASC : There is no comprehensive data on arrivals ( both adults and children ) in Europe , especially by land and air , as such movements are largely irregular and involve smuggling networks , which are difficult to track . If collected , data is rarely disaggregated by nationality , risk category , gender or age . Reliable data on the number of UASC either arriving or currently residing in different European countries is often unavailable . The number of asylum applications filed by UASC is used to provide an indication of trends but does not necessarily provide an accurate picture of the caseload due to backlogs in national asylum systems , onward irregular movements or children not applying for asylum at all . In addition , due to different definitions and national procedures and practices , collecting accurate data on separated children specifically is very challenging ( e . g . separated children being registered as either accompanied or unaccompanied ) . Eurostat data on asylum applications and decisions on children and UASC have been downloaded on 15 July 2023 , and may be subject to consolidation . _Endnotes_ 1 . Data on arrivals is partial due to the large scale of irregular movements . The data reflects both sea and land arrivals in Greece , land arrivals in Bulgaria , and sea arrivals in Cyprus , Italy , Malta and Spain . Data for Spain is based on the Ministry of Interior \u2019 s statistics and UNHCR \u2019 s estimates . 2 . Separated children are children separated from both parents , or from their previous legal or customary primary caregiver , but not necessarily from other relatives . These may , therefore , include children accompanied by other adult family members . Un", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000370:7:2:1", "surface": "Eurostat data", "start": 1417, "end": 1430, "luna": 1, "luna_split": false, "head_score": 0.7228551506996155, "extractor_score": 0.8628712296485901, "band": "keep"}, {"key": "reliefweb:000370:7:2:2", "surface": "Data on arrivals", "start": 1581, "end": 1597, "luna": 1, "luna_split": false, "head_score": 0.6782938838005066, "extractor_score": 0.8598621487617493, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "and Monitoring and Evaluation * * | * * Project Management and Monitoring and Evaluation * * | | * * Percentage of project-related grievances addressed ( Percentage ) * * | * * Percentage of project-related grievances addressed ( Percentage ) * * | | Description | This indicator will be tracked by PIU through data collected through the Project Management Information System ( MIS ) . | | Frequency | * * Quarterly * * | | Data source | * * MSEA \u2019 s and KDC \u2019 s registry of project benefeciary firms * * | | Methodology for Data < br > Collection | * * Project progress reports * * | | Responsibility for Data < br > Collection | * * PIU * * | | * * of which women ( Percentage ) * * | * * of which women ( Percentage ) * * | | Description | | | Frequency | * * Quarterly * * | | Data source | * * MSEA \u2019 s and KDC \u2019 s registry of project benefeciary firms * * | | Methodology for Data < br > Collection | * * Project progress reports * * | Nov 16 , 2023 Page 42 of 60", "n": 2, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:005133:46:2:0", "surface": "Project Management Information System", "start": 338, "end": 375, "luna": 0, "luna_split": false, "head_score": 0.48159435391426086, "extractor_score": null, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:005133:46:2:1", "surface": "MSEA \u2019 s and KDC \u2019 s registry of project benefeciary firms", "start": 442, "end": 500, "luna": 0, "luna_split": false, "head_score": 0.12694501876831055, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "hypothesized as follows : - _Hypothesis_ _1_ _ ( Extortion_ _to_ _Fear ) : _ Deportees who were extorted while migrating are more likely to avoid a range of situations out of fear in their origin country compared to deportees who were not victims of such abuse . - _Hypothesis_ _1a_ _ ( Extortion_ _to_ _Economic_ _Hardship ) : _ Deportees who were extorted while migrating are more likely to experience economic hardship in their origin country than those who were not extorted . - _Hypothesis_ _2_ _ ( Fear_ _to_ _Engagement ) : _ Deportees avoiding activities in their origin coun try because of fear are less likely to be politically engaged compared to those who are not avoiding activities out of fear . - _Hypothesis_ _2a_ _ ( Economic_ _Hardship_ _to_ _Engagement ) : _ Deportees who experience eco nomic hardship in their origin country are more likely to be politically engaged than deportees who do not experience economic hardship . If fear and economic hardship both mediate the relationship between extortion and po litical engagement , a final hypothesis should concern which mechanism plays a larger role . If the emotional consequences of extortion are larger than the financial ones , extortion should be correlated with decreased rather than increased levels of political engagement . However , we have no prior reason to believe that one mechanism is more or less important than the other . Thus , any conclusions about the overall relationship between extortion and political engagement is exploratory . # # # # * * 4 Research Design : Data and Methods * * # # # # # # * * 4 . 1 Deportee Survey * * We employ data from an original survey of recent migrants deported from from the United States and returned to Guatemala ( \u201c deportees \u201d or \u201c returnees \u201d", "n": 2, "band": "keep", "mentions": [{"key": "sample:prwp:000637:12:0:0", "surface": "Deportee Survey", "start": 1600, "end": 1615, "luna": 1, "luna_split": false, "head_score": 0.8308141827583313, "extractor_score": 0.872628390789032, "band": "keep"}, {"key": "sample:prwp:000637:12:0:1", "surface": "original survey of recent migrants", "start": 1643, "end": 1677, "luna": 1, "luna_split": false, "head_score": 0.9373717308044434, "extractor_score": 0.9180393218994141, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "D . Climate * * general equilibrium modelling strategy compared to the previous Deloitte ( 2024 ) report , accounting for the impact of Ukrainian refugees on productivity . Over the past two decades , research by academic economists has shown that viewing immigration solely through the lens of supply and demand severely constrains our understanding of the process ( Peri , 2016 ) . Such a model suggests that immigration increases economic output 36 but has negative labour market effects due to increased competition for jobs among workers . However , little of these theoretical negative labour market effects can be seen in empirical data . This is because immigrant workers encourage further specialisation among native workers and firms , which increases productivity and offsets the negative effects . The same effects can be expected in the case of refugees entering the Polish labour market \u2013 besides increasing labour supply and competing with Polish workers , they provide new skills , ideas , and allow Polish workers to specialize in higher value-added tasks . These effects were included in the estimates of the impact of Ukrainian refugees on Polish GDP by Monitor Deloitte ( 2022 ) and Oxford Economics ( 2022 ) , but these estimates were based on literature rather than Polish empirical data . In Deloitte \u2019 s 2024 study , these effects were omitted due to a lack of empirical data with which to calibrate them specifically . This study uses available data , albeit limited , to create a conservative scenario that includes positive impacts on productivity .", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:18:3:0", "surface": "empirical data", "start": 629, "end": 643, "luna": 1, "luna_split": false, "head_score": 0.8098210096359253, "extractor_score": 0.463249146938324, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:18:3:1", "surface": "Polish empirical data", "start": 1288, "end": 1309, "luna": 1, "luna_split": false, "head_score": 0.6961293816566467, "extractor_score": 0.8993204832077026, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * * * reducing the number of shipments , with mitigation co-benefits * * . Additionally , the component would benefit from a better management plan , which would reduce food loss and waste along the wheat value chain and , therefore , generate climate change mitigation co-benefits . * * Component 2 : Project management and capacity building ( US $ 2 . 5 million ) * * 33 . * * This component will finance all aspects of project management , * * including equipment and materials , consultant costs , compliance with fiduciary , procurement ( including internal controls and auditing ) , and safeguards ( environmental and social ) requirements ( including a citizen engagement mechanism and a strengthened GM for better risk management ) , monitoring and evaluation , and impact assessment , knowledge management and communication . 34 . * * The component will specifically finance mechanisms to improve the mitigation of risks associated with wheat * * * * imports and access to affordable bread under Component 1 . * * To address fiduciary risks and ensure the integrity of the wheat procurement process , it will finance semi-annual financial audits focused on participating importers ( as described under Section IV . B ) . To address technical risks , such as misuse or misappropriation of project-financed wheat imports , the project will finance consultancy services and technical assistance to strengthen the role of the consumer protection agency under MOET and of Lebanon \u2019 s Central Inspection agency , as well as technical audits upstream in the value chain through specialized providers . Such technical audits will be contracted under the project according to clearly defined terms of reference and will collect data on : ( 1 ) declared prices / quantities at loading port to compare with declared and actual prices / quantities at destination ( port of Beirut or Tripoli ) , for each shipment ; ( 2 ) quantity of wheat received at each mill as well as quantity of flour produced and sold by each mill , daily for each mill ; and ( 3 ) quantity of flour procured by bakeries as well as quantity of bread produced and", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000019:20:1:0", "surface": "declared prices / quantities at loading port", "start": 1746, "end": 1790, "luna": 0, "luna_split": false, "head_score": 0.5064324140548706, "extractor_score": 0.9575139284133911, "band": "confusion"}, {"key": "jdc_operational:000019:20:1:1", "surface": "quantity of wheat received at each mill", "start": 1920, "end": 1959, "luna": 0, "luna_split": false, "head_score": 0.3495207726955414, "extractor_score": 0.9578559994697571, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "capita - O 2 - 0 5 Lower-middle-income _group_ ESports of goods and servic \" s * * STRUCTURE ofthe ECONOMY * * * * 1979 * * * * 1989 * * * * 1998 * * * * 1999 * * * * Growth rates of output and Investment ( ) * * _ { % I ol GOP ) _ Agriculture 3 . 4 _ . . _ * * _2 . _ * * Industry 21 . 0 O . Manufacturing 5 . 6 * * _-2_ * * * * _94_ * * _as_ _se_ _s_ Services * * 75 . 6 * * 6 Private consumption * * - r . * * General government consumplion * * G * * Imports of goods and services * * 1979-89 * * * * 1989-99 * * * * 1998 * * * * 1999 * * _ ( average annual orowth ) _ Agriculture Industry Manufacturing Services Private consumption Generai government consumption Gross domestic investment Imports of goods and services Gross national product 1 7 * * 1 . 4 * * Note . 1999 data are preliminary estimates . This table was produced from the Development Economics central database . The diamonds show four kev midicators in the country ( in bold ) compared with its income-group average . 11 data are missing , Ihe diamond will", "n": 2, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000022:62:2:0", "surface": "1999 data", "start": 771, "end": 780, "luna": 0, "luna_split": false, "head_score": 0.05146782845258713, "extractor_score": 0.8162293434143066, "band": "confusion"}, {"key": "sample:refugee_pads:000022:62:2:1", "surface": "Development Economics central database", "start": 842, "end": 880, "luna": 1, "luna_split": false, "head_score": 0.9143185019493103, "extractor_score": 0.9041345119476318, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "* * Recommendations * * Paving pathways for inclusion : A global overview of refugee education data # # # # # ~ ~ Paving pathways for inclusion ~ ~ # # ~ ~ A global overview of ~ ~ ~ ~ refugee education data ~ ~ * * 4 * *", "n": 2, "band": "confusion", "mentions": [{"key": "sample:reliefweb:000382:3:0:0", "surface": "refugee education data", "start": 77, "end": 99, "luna": 0, "luna_split": false, "head_score": 0.1572132706642151, "extractor_score": 0.7258042097091675, "band": "confusion"}, {"key": "sample:reliefweb:000382:3:0:1", "surface": "refugee education data", "start": 185, "end": 207, "luna": 0, "luna_split": false, "head_score": 0.21217764914035797, "extractor_score": 0.6267709136009216, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": ") is based on data from 2017 , since which time the MoES has been < br > updating the comprehensive Education Management Information System ( EMIS ) . Enrollments in target areas < br > have increased in the interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . Values exceed the end < br > targets because the Results Framework ( RF ) is based on data from 2017 , since which time the MoES has been < br > updating the comprehensive Education Management Information System ( EMIS ) . Enrollments in target areas < br > have increased in the interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . Values exceed the end < br > targets because the Results Framework ( RF ) is based on data from 2017 , since which time the MoES has been < br > updating the comprehensive Education Management Information System ( EMIS ) . Enrollments in target areas < br > have increased in the interim for reasons outside the influence of the project . | Total enrolment is drawn from 1 , 416 government schools ( S1-S4 ) as of September 2024 . Values exceed the end < br > targets because the Results Framework ( RF ) is based on data from 2017 , since which time the MoES has been < br > updating the comprehensive Education Management Information System ( EMIS ) . Enrollments in target areas < br > have increased in the interim for reasons outside the influence of the project . | * * Intermediate Results Indicators by Components * * | Expansion of Lower Secondary Education Revised | Col2 | Col3 | Col4 | Col5 | Col6 | Col7 | Col8 | Col9 | | - - - | - - - | -", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:005150:17:2:0", "surface": "data from 2017", "start": 14, "end": 28, "luna": 0, "luna_split": false, "head_score": 0.5925725698471069, "extractor_score": 0.8912677764892578, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "accurate data than ground stations in most locations and do not extend as far back in time . Gridded data , on the other hand , aggregate data from ground stations via interpolation and across a given space . This works well in developed countries , where there is wide and uniform coverage of weather stations across the entire territory , but not so much in developing contexts , where often gridded data aggregate weather information from a few old stations spread across the country . Sparse coverage is a serious issue given the interpolation method adopted by gridded products . Finally , entry and exit of stations ( quite common , especially in poorer countries ) can be endogenous and represents an additional source of measurement error of true weather conditions experienced by people . < sup > 11 < / sup > Such diversity in weather data products can affect econometric estimates of the relationship between climatic events and a given socioeconomic outcome of interest . Second , the need for spatial anonymization for privacy protection in household surveys , usually implemented through a random offset of true household 11 See Auffhammer et al . ( 2013 ) and Dell , Jones and Olken ( 2014 ) for further discussion . For a comprehensive overview of the availability and quality of climate data in the context of Africa see , instead , Dinku ( 2019 ) . 22", "n": 4, "band": "keep", "mentions": [{"key": "sample:prwp:000662:23:1:0", "surface": "gridded data", "start": 394, "end": 406, "luna": 1, "luna_split": false, "head_score": 0.7600623965263367, "extractor_score": 0.5313175320625305, "band": "keep"}, {"key": "sample:prwp:000662:23:1:1", "surface": "weather data products", "start": 837, "end": 858, "luna": 1, "luna_split": false, "head_score": 0.7245723009109497, "extractor_score": 0.4956989288330078, "band": "keep"}, {"key": "sample:prwp:000662:23:1:2", "surface": "household surveys", "start": 1054, "end": 1071, "luna": 0, "luna_split": false, "head_score": 0.6547762155532837, "extractor_score": 0.7746623158454895, "band": "keep"}, {"key": "sample:prwp:000662:23:1:3", "surface": "climate data", "start": 1296, "end": 1308, "luna": 0, "luna_split": false, "head_score": 0.4395066201686859, "extractor_score": 0.7145668864250183, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland # # # # * * Productivity shock rationale * * As Ukrainian refugees entered the labour market , the economy adapted in line with expectations based on scientific literature , resulting in greater specialisation and higher productivity . In a simplistic supply-demand framework akin to the \u201c canonical model \u201d , the influx of Ukrainian refugees should have caused some Polish workers to become unemployed or leave the labour force , or real wages to fall . Even in the Deloitte D . Climate model , Ukrainian refugees add 0 . 4 percentage points to the unemployment rate and lower real wages by 1 . 35 % in 2024 when it is not counterbalanced by an additional positive productivity shock . However , this is not what we observe in empirical data . First , Polish citizens employment rates have grown , and unemployment rates have fallen . Second , poviats in which the employment share of Ukrainian refugees has grown by 1 percentage point , experienced higher by 0 . 5 percentage point Polish citizens employment rates , and 0 . 3 percentage point lower unemployment rates . Third , there is no evidence of lowered wages ; in fact , the limited available data suggests that Ukrainian refugees may have caused higher wage growth in poviats to which they have moved . These are common findings in the scientific literature quoted in the previous section , that as immigrants enter the labour market , native workers tend to specialise in higher-value , complementary tasks . This is evident in Polish workers moving to more attractive occupational groups . This constitutes a positive productivity shock , counterbalancing labour market pressures . First , the employment rate of Polish citizens has been growing since the Ukrainian refugee influx , while the unemployment rate has been falling . This is particularly evident among women , who make up the majority of refugees . The employment rate for women aged 20-64 has grown consistently from 68 . 2 % in Q2 2021 to 70 . 2 % in Q2 2022 , 71 . 7 %", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:19:0:0", "surface": "empirical data", "start": 801, "end": 815, "luna": 1, "luna_split": false, "head_score": 0.8038384914398193, "extractor_score": 0.721061110496521, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:0:1", "surface": "limited available data", "start": 1208, "end": 1230, "luna": 1, "luna_split": false, "head_score": 0.8683407306671143, "extractor_score": 0.5481412410736084, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Lebanon : Wheat supply emergency response project ( P178866 ) To address price risks and monitor access to affordable bread , the project will finance third-party monitoring agency ( TPMA ) , such as mobilization of Red Cross Volunteers with the Lebanese Red Cross / International Federation of Red Cross and Red Crescent Societies at community level / downstream . The TPMA will facilitate price data collection for flour at the mill , for bread at the bakeries , and for bread at retail outlets , on a weekly basis and for a sample of outlets across all governorates . At the same time , the project will finance high frequency \u2018 Listening to Poor and Vulnerable Household Surveys \u2019 , entailing data collection on bread prices and consumption for the poor and vulnerable households , by conducting random sampling and surveying ( biweekly ) using UNHCR and WFP beneficiary lists . This information will be triangulated at MOET level with information consolidated from the consumer protection agency , GM , and WFP price monitoring system , and used to adopt appropriate remedies , such as activating the preferential distribution clause foreseen in the Framework Agreement , for bakeries in areas where most of the poor and vulnerable groups are located . All monitoring reports will be published on Central Inspection \u2019 s IMPACT online platform . 35 . * * The component will also support consultancy services and technical assistance that will strengthen MOET \u2019 s * * * * oversight function as well as capacity * * * * to manage the gradual transition from the current wheat subsidy system to a * * * * more market-oriented system * * . This will include developing a better price monitoring and data system ( both for wheat and bread ) ; developing an implementation plan for gradually removing wheat subsidies and bread prices and potentially increasing importers \u2019 financial participation in wheat import purchases , to be informed by the complementary activities described below ; conducting an adequate stakeholder outreach and communication about these reforms ; and strengthening regional cooperation around food security and risk management in the", "n": 4, "band": "confusion", "mentions": [{"key": "sample:jdc_operational:000019:21:0:0", "surface": "Listening to Poor and Vulnerable Household Surveys", "start": 655, "end": 705, "luna": 0, "luna_split": false, "head_score": 0.3347083330154419, "extractor_score": 0.9289429187774658, "band": "confusion"}, {"key": "sample:jdc_operational:000019:21:0:1", "surface": "UNHCR and WFP beneficiary lists", "start": 872, "end": 903, "luna": 1, "luna_split": false, "head_score": 0.8773885369300842, "extractor_score": 0.9036792516708374, "band": "keep"}, {"key": "sample:jdc_operational:000019:21:0:2", "surface": "WFP price monitoring system", "start": 1035, "end": 1062, "luna": 1, "luna_split": false, "head_score": 0.4761982858181, "extractor_score": 0.9327755570411682, "band": "confusion"}, {"key": "sample:jdc_operational:000019:21:0:3", "surface": "price monitoring and data system", "start": 1701, "end": 1733, "luna": 0, "luna_split": false, "head_score": 0.1041671484708786, "extractor_score": null, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "than those for girls . Grade 8 enrollment rates are in favor of boys , and the gap is especially evident in rural areas . * * Figure 1 : Primary education enrollment rates * * Access to basic education in Sudan at the beginning and end of Primary education GER in 2016 or the the cycle in Sudan by gender , location , and wealth quintile latest available , selected countries < u > ( 2014 ) < / u > | Col1 | Col2 | | - - - | - - - | | | | | Col1 | Col2 | | - - - | - - - | | | | | Col1 | Col2 | | - - - | - - - | | | | | Col1 | Col2 | | - - - | - - - | | | | _Source : _ Authors \u2019 estimates based on MICS2014 / 15 . _Source : _ Authors on UNESCO UIS data . * * 12 . * * * * Socioeconomic disparities in basic education are large . * * While Grade 1 enrollment rates for the wealthiest fifth of households were universal , only 81 percent of children in the poorest fifth of households were enrolled . This socioeconomic gap in primary access widens by the end of the education cycle . Only 34 percent of children from the poorest quintile reach the last grade of primary education compared to 94 percent of children from the wealthiest quintile . The socioeconomic disparities further translate into access to secondary education : only 9 percent of Page 8 of 40", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000024:12:1:0", "surface": "MICS2014 / 15", "start": 600, "end": 613, "luna": 1, "luna_split": false, "head_score": 0.9413776993751526, "extractor_score": 0.8234754800796509, "band": "keep"}, {"key": "refugee_pads:000024:12:1:1", "surface": "UNESCO UIS data", "start": 639, "end": 654, "luna": 1, "luna_split": false, "head_score": 0.8887041211128235, "extractor_score": 0.9143378138542175, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": ", the number of DCEs that could contribute to refugee education data inclusion is limited due to the lack of questionnaires that simultaneously provide information on the protection status of respondents and their educational situation . There is an absence of questions that would allow for the identification of refugees with only 418 ( 38 % ) questionnaires ( 331 DCE or 45 % ) having any form of refugee identification questions . Further , only two questionnaires reviewed included the full set of questions recommended by the International Recommendations on Refugee Statistics developed by the Expert Group on IDO , Refugee and Statelessness Statistics . On education , the findings echo earlier work , showing that data on access to education ( e . g . 341 questionnaires with information on access to schools ) is far more common than data on other aspects , such as safety ( 31 questionnaires ) and quality ( 167 questionnaires ) ( summarized in Figure 1 ) . Further , many of the data limitations on these aspects of education are a result of the absence of refugee identification questions and the lack of inclusion of refugees as a target population . The educational indicators covered differ depending on the target population of the DCE . However , indicators on educational attainment , attendance , and literacy are relatively common across DCEs , regardless of their target populations . In sum , there are low levels of inclusion of refugees in education data systems and steps to ensure wider inclusion \u2013 both within samples and by including refugee identification questions within existing surveys \u2013 would enrich our understanding of refugee education . * * Figure 1 : * * Overview of the number of questionnaires covering different education areas by target population and presence of refugee identification questions * * There is very little data on refugee education beyond access to schools and quality learning conditions . * * * * However , inclusion in existing data collection exercises has the potential to increase the amount of data . * * Access to schools Safe learning environment Quality learning conditions Access to progressions Access to higher education 0 100 200 300 400 500 600 700", "n": 2, "band": "confusion", "mentions": [{"key": "sample:reliefweb:000382:6:1:0", "surface": "refugee education data", "start": 46, "end": 68, "luna": 0, "luna_split": false, "head_score": 0.36243677139282227, "extractor_score": 0.87945955991745, "band": "confusion"}, {"key": "sample:reliefweb:000382:6:1:1", "surface": "data on access to education", "start": 723, "end": 750, "luna": 1, "luna_split": false, "head_score": 0.502821147441864, "extractor_score": 0.4538798928260803, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "timely , relevant , understandable , and accessible information , and consult with them in a culturally appropriate manner , which is free of manipulation , interference , coercion , discrimination , or intimidation . # # * * 2 . Objective / Description of SEP * * The overall objective of this SEP is to define a program for stakeholder engagement , including public information disclosure and consultation throughout the entire project cycle . The SEP outlines the ways in which the project team will communicate with stakeholders and includes a mechanism by which people can raise concerns , provide feedback , or make complaints about project activities or any activities related to the project . # # * * 3 . Stakeholder identification and analysis * * # # # # * * 3 . 1 . Methodology * * Data to prepare this document are collected from five region and one city administration through stakeholders \u2019 consultations , key informant interviews , and desk review . Field data from sample regions and a city administration were collected by MOE \u2019 s professionals . The sources of the field data were school communities , local communities , and selected regional bureaus and woreda offices . The experiences of the stakeholders in environmental and social risks on previous WB financed projects which are similar to ETOL project have been thoroughly explored . Stakeholders also forecasts the anticipated E & S risks of ETOL and suggest the mitigation strategies . The photos during the discussions and the attendance sheets are annexed to this plan . Stakeholder engagement shall be informed by a set of principles defining core values underpinning interactions with stakeholders . Common principles based on International Best Practice include the following : : - _Openness and life-cycle approach : _ Public consultations for the project ( s ) will be arranged during the whole life cycle , carried out in an open manner , free of external manipulation , interference , coercion , or intimidation . - _Informed participation and feedback : _ Information will be provided to and widely distributed among all stakeholders in an appropriate format ; opportunities are provided for communicating stakeholder feedback , and for analyzing and addressing comments", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:005321:5:0:0", "surface": "Field data from sample regions and a city administration", "start": 966, "end": 1022, "luna": 0, "luna_split": false, "head_score": 0.29329395294189453, "extractor_score": 0.9303759336471558, "band": "confusion"}, {"key": "fcv_pads_east_africa:005321:5:0:1", "surface": "field data", "start": 1084, "end": 1094, "luna": 0, "luna_split": false, "head_score": 0.35134148597717285, "extractor_score": 0.8810622096061707, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": ", Norway , Oman , Pakistan , Palau , Panama , Papua New Guinea , Paraguay , Peru , Philippines , Poland , Portugal , Qatar , Romania , Russian Federation , Rwanda , Samoa , S\u00e3o Tom\u00e9 and Principe , Saudi Arabia , Senegal , Serbia , Seychelles , Sierra Leone , Singapore , Slovak Republic , Slovenia , Solomon Islands , South Africa , Spain , Sri Lanka , St . Kitts and Nevis , St . Lucia , St . Vincent and the Grenadines , Sudan , Suriname , Eswatini , Sweden , Switzerland , Tajikistan , Tanzania , Thailand , Timor-Leste , Togo , Tonga , Trinidad and Tobago , Tunisia , Turkey , Uganda , Ukraine , United Arab Emirates , United Kingdom , United States , Uruguay , Uzbekistan , Vanuatu , Venezuela , RB , Vietnam , Yemen , Rep . , Zambia , and Zimbabwe . # # # # Appendix B : Poverty Data Most of the data for monetary poverty comes from PovcalNet , an interactive computational tool that allows users to replicate the calculations made by World Bank researchers when estimating the extent of absolute poverty in the world . The PovcalNet data for LAC are taken from the Socio-Economic Database for Latin America and the Caribbean ( SEDLAC ) . SEDLAC was developed by the Center for Distributional , Labor , and Social Studies ( CEDLAS ) of the Universidad Nacional de La Plata ( Argentina ) , in partnership with the Latin America team of the World Bank \u2019 s Poverty and Equity Group . Methodological and technical revisions to the SEDLAC project began in 2015 to better align its data with the household surveys 29", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000687:30:1:0", "surface": "PovcalNet", "start": 839, "end": 848, "luna": 1, "luna_split": false, "head_score": 0.8722430467605591, "extractor_score": 0.7413015961647034, "band": "keep"}, {"key": "prwp:000687:30:1:4", "surface": "household surveys 29", "start": 1496, "end": 1516, "luna": 0, "luna_split": false, "head_score": 0.5444942712783813, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "This is particularly evident among women , who make up the majority of refugees . The employment rate for women aged 20-64 has grown consistently from 68 . 2 % in Q2 2021 to 70 . 2 % in Q2 2022 , 71 . 7 % in Q2 2023 , and 72 . 2 % in Q2 2024 ( see Chart 26 ) . The unemployment rate for women aged 20-64 has consistently fallen , from 3 . 5 % in Q2 2021 to 3 . 0 % in Q2 2022 , 2 . 6 % in both Q2 2023 and Q2 2024 . Second , panel regression analysis shows that a larger influx of Ukrainian refugees at the poviat level was accompanied by a larger increase in employment rates for Polish citizens along with a larger decrease in registered unemployment rates . The data sample for all regressions encompassed quarterly data for all 380 poviats from Q1 2022 to Q2 2024 . The Ukrainian refugee share variable was constructed as the share of Ukrainian refugees among all employed , temporarily employed , and self-employed persons insured with ZUS in a given poviat at the end of the quarter . The employment rate of Polish citizens was constructed as the share of Polish citizens who are employed , Analysis of the impact of refugees from Ukraine on the economy of Poland temporarily employed , and self-employed and who are insured with ZUS , divided by the population from GUS in a given poviat in a given quarter ( estimated based on halfyear population data ) . The unemployment rate is the registered unemployment rate series from GUS . Fixed effects panel regressions show that an increase in the employment share of Ukrainian refugees by 1 percentage point correlates with an increase in Polish citizens ' employment rates by 0 . 5 % and a decrease in the unemployment rate by 0 . 3 % , in the preferred specification with dummy variables for all quarters . All results are statistically significant at a 0 . 01 level . * *", "n": 2, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:19:1:0", "surface": "quarterly data for all 380 poviats", "start": 709, "end": 743, "luna": 1, "luna_split": false, "head_score": 0.8711403012275696, "extractor_score": 0.8322394490242004, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:1:1", "surface": "halfyear population data", "start": 1335, "end": 1359, "luna": 1, "luna_split": false, "head_score": 0.9414742588996887, "extractor_score": 0.9025023579597473, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Lebanon : Wheat supply emergency response project ( P178866 ) Crescent Societies , which will confirm that the bakeries service areas that include poor and vulnerable groups are receiving the flour as per Framework Agreement . In addition , the project will finance high frequency \u2018 Listening to Poor and Vulnerable Household Surveys \u2019 , entailing data collection on bread prices and consumption for the poor and vulnerable households , by collecting random sampling and surveying ( biweekly ) using UNHCR and WFP beneficiary lists . This information will be triangulated at MOET level with information consolidated from the consumer protection agency , GM , and price monitoring system , and used to adopt appropriate remedies , such as including in the Framework Agreement a preferential distribution clause for bakeries located in areas where most of the poor and vulnerable groups are located . Additional social risks are associated with the consultancy services and technical assistance under Component 2 that will help MOET \u2019 s planned transition from the current wheat subsidy system to a more market-oriented system . Such risks will be mitigated through recommendations in the study to ensure linkages with the social safety net programs like ESSN , a clear communication campaign , and an effective and widespread dissemination of the grievance mechanism . All the mitigation measures will be covered in the Environmental and Social Management Plan ( ESMP ) , which will be prepared before signing Framework Agreements with local importers and as a disbursement condition . 80 . The Environmental risk rating is Moderate . The project is limited to procurement of wheat to maintain the supply during the market disruptions caused by the war in Ukraine . The project finance will not involve any civil works nor any other activities after the vessels deliver the shipment at the ports of Beirut and / or Tripoli . There are some associated activities , which are not directly financed by the project but are directly and significantly related to the project ; will be carried out contemporaneously with the project ; and necessary for the project to be viable and would not have been conducted if the project did", "n": 2, "band": "confusion", "mentions": [{"key": "jdc_operational:000019:33:0:0", "surface": "Listening to Poor and Vulnerable Household Surveys", "start": 306, "end": 356, "luna": 0, "luna_split": false, "head_score": 0.28002622723579407, "extractor_score": 0.928557276725769, "band": "confusion"}, {"key": "jdc_operational:000019:33:0:1", "surface": "UNHCR and WFP beneficiary lists", "start": 523, "end": 554, "luna": 1, "luna_split": false, "head_score": 0.853171706199646, "extractor_score": 0.9274755120277405, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Sudan Basic Education Emergency Support Project ( P172812 ) * * Figure 2 : Enrollment pyramid and share of illiterate pupils * * A . Enrollment pyramid , thousand ( 2017 ) B . Percent of Grade 3 pupils who could not read a single word of a short text in Arabic ( 2014 or the latest available ) 40 % Secondary 3 Secondary 2 Secondary 1 Basic 8 Basic 7 Basic 6 Basic 5 Basic 4 Basic 3 Basic 2 Basic 1 600 400 200 0 200 400 600 Jordan Iraq Morocco Egypt Yemen Sudan _Source : _ Education Sector Analysis , 2018 . _Source : _ http : / / www . earlygradereadingbarometer . org / _Low and stagnant learning outcomes_ 16 . * * Learning outcomes in Sudan schools are generally low * * . According to the National Learning Assessment ( NLA ) conducted in 2015 for Grade 3 pupils , the results were low in all domains of the assessment : reading , writing , and numeracy . For example , only 5 percent of pupils could read fluently ( more than 60 words per minute ) in Arabic , and 40 percent were not able to read at all . Furthermore , the assessment of reading speed among third graders indicated an average speed of 15 words per minute , which is far below the estimated minimum reading speed of 40 words per minute thought to be necessary to gain understanding of and meaning from the text . However , Sudan \u2019 s third graders did better in listening and comprehension compared to pupils from other Arabic Countries . 17 . * * There is sign of slight improvements in learning outcomes at the national level * * . The country has recently completed its second round of NLA , and preliminary data indicates some gains in reading scores , with the reduction of non-readers from 40 percent in 2014 to 38 percent in 2017 < sup > 2 < / sup > . Reading comprehension has improved from 36 percent in 2014 to 52 percent in 2017 . The share of students able to", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000024:14:0:0", "surface": "National Learning Assessment", "start": 719, "end": 747, "luna": 1, "luna_split": false, "head_score": 0.887661874294281, "extractor_score": 0.7353872656822205, "band": "keep"}, {"key": "refugee_pads:000024:14:0:1", "surface": "preliminary data", "start": 1595, "end": 1611, "luna": 1, "luna_split": false, "head_score": 0.8117556571960449, "extractor_score": 0.290079802274704, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "* * Recommendations * * While the review shows that there is still a long way to go to ensure refugee inclusion in education data systems there are some actionable ways forward to improve data availability for refugee education : y * * Include refugees within sampling frames and include refugee identification questions in existing data * * * * collection instruments . * * Findings from this review show substantial gains in refugee education data could be made by wider inclusion in existing data collection , especially on access to schools , quality learning , and safety for refugees ( see Figure 1 ) . This inclusion is in line with the mandate of the Expert Group on IDP , Refugee , and Statelessness Statistics and their recommendations for refugee statistics ( see the IRRS , p . 44-45 ) . - * * To National Statistical Offices and Ministries of Education / Higher Education : * * Work with and use the existing guidance and refugee identification standards developed by the EGRISS to include and disaggregate refugees and other FDPs by status within national data systems , including education data . For administrative data , disaggregating students by nationality or refugee status is easier where individual-level EMIS is already in place . - * * To organizations engaged in collecting or funding education data or funding data collection : * * Advocate for the inclusion of refugees in sampling frames where contextually relevant and raise awareness of the EGRISS standards among national actors . Further , apply the EGRISS recommendations to include refugee identification questions in surveys , in addition to existing disaggregation by gender , age , and disability . For example , the report identified that including refugee identification questions in international and regional learning assessments could contribute to significant increases in data availability on the learning of refugees . The inclusion of refugees in the Multiple Indicators Cluster Surveys , the Demographic and Health Surveys and any other national-level surveys that are important sources of data for global education figures would also provide much-needed information on the status of refugee learners . While the inclusion of", "n": 3, "band": "confusion", "mentions": [{"key": "reliefweb:000382:7:0:0", "surface": "education data", "start": 435, "end": 449, "luna": 0, "luna_split": false, "head_score": 0.24803391098976135, "extractor_score": null, "band": "confusion"}, {"key": "reliefweb:000382:7:0:1", "surface": "education data", "start": 1095, "end": 1109, "luna": 0, "luna_split": false, "head_score": 0.3361966907978058, "extractor_score": 0.5774245262145996, "band": "confusion"}, {"key": "reliefweb:000382:7:0:4", "surface": "Demographic and Health Surveys", "start": 1990, "end": 2020, "luna": 0, "luna_split": false, "head_score": 0.406471848487854, "extractor_score": 0.9376935958862305, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": ", of which the most recent one is the 2019 / 20 UNHS . In addition , the Bureau initiated a multi-topic , four-year annual Uganda National Panel Survey ( UNPS ) program in 2009 . The 2009 / 10 UNPS was funded with support from the Kingdom of the Netherlands while the subsequent surveys ( 2010 / 11 , 2011 / 12 and 2013 / 14 ) were funded largely by the World Bank . The GoU contributed towards the implementation of the UNPS rounds and provided resources that facilitated the UNPS program implementation . 3 . The first phase of the UNPS ended in 2015 . According to the plan , the UNPS was carried out annually over a 12-month period on a nationally representative sample with the aim to produce annual estimates of outcomes and outputs in the key policy areas and to provide a platform for the experimentation and assessment of national policies and programs . One of the primary uses of the UNPS was to inform policy in advance of the Budget and to provide an analytical framework to inform National Budget preparations and government annual reviews . The first phase of panel surveys ensured regular availability of data . 4 . The success achieved during the first phase of UNPS implementation asked for a second phase of implementation with the goal of consolidating the capacity . 5 . The first motivation for the second phase of the UNPS 2016 \u2013 2021 was to consolidate and enhance the technical capacity already developed , the efficiency in data collection and processing to continue to produce on an annual basis the key outcome indicators ( poverty , service delivery , governance , employment among other indicators ) to monitor the NDP . The second motivation was to continue supporting the program of annual national panel household surveys over the period of 2016-2020 , and maintaining the links to at least a sub-sample of households that have been surveyed in the period of 2009-2015 . In such a way the second phase intended to facilitate analysis of long-term , slow-moving processes such as agricultural transformation", "n": 4, "band": "confusion", "mentions": [{"key": "sample:fcv_pads_east_africa:005339:6:1:0", "surface": "2019 / 20 UNHS", "start": 38, "end": 52, "luna": 1, "luna_split": false, "head_score": 0.7618749141693115, "extractor_score": 0.8456951379776001, "band": "keep"}, {"key": "sample:fcv_pads_east_africa:005339:6:1:1", "surface": "Uganda National Panel Survey", "start": 123, "end": 151, "luna": 1, "luna_split": false, "head_score": 0.25892797112464905, "extractor_score": 0.9023606181144714, "band": "confusion"}, {"key": "sample:fcv_pads_east_africa:005339:6:1:2", "surface": "panel surveys", "start": 1075, "end": 1088, "luna": 0, "luna_split": false, "head_score": 0.5797585844993591, "extractor_score": 0.8701966404914856, "band": "keep"}, {"key": "sample:fcv_pads_east_africa:005339:6:1:3", "surface": "annual national panel household surveys", "start": 1715, "end": 1754, "luna": 0, "luna_split": false, "head_score": 0.23140768706798553, "extractor_score": 0.9058613181114197, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "results are consistent across different specifications . We then conduct a similar exercise using country-level data from the World Development Indicators ( WDI ) and the Standardized World Income Inequality Database ( SWIID ) . The results presented in Table A8 confirm our expectation . Finally , we conduct a placebo test of our study design . It is motivated by the fact that if estimating our chosen specification , but replacing the true value of the regressor of interest with an alternative we know should be irrelevant , we should expect to see no evidence of the effects on poverty . We do this exercise by using a within-sample randomization . First , the \u2018 true \u2019 temperature of a region is replaced by temperature from another , randomly chosen in our sample without replacement . Second , the specification from Column ( 1 ) of Table 1 and Table 2 was estimated using the resulting placebo temperature series and the resulting coefficient and _t_ - statistic on the temperature variable collected . This process is repeated with 1 , 000 randomizations and we present in Figure A3 ( Appendix A ) the coefficients and _t_ - statistics harvested . Panel A shows that none of the placebo runs generate values anywhere close to those derived under true assignment , denoted by the dashed vertical lines . In Panel B , we find that only 5 percent of these estimates are larger in magnitude than the actual coefficient . It thus provides further support to our main estimates of the effects of temperature on poverty and inequality . * * _C2 . Heterogeneity analysis_ * * Consistent with the idea that warmer temperature leads to higher poverty rate and inequality , we also expect the impacts to be heterogenous across regions . We expect that countries bearing the largest effects of global warming tend to be poorer ( i . e . , low-income countries ) or located in poor regions . This is explained by the fact that poor countries are less prepared for the effects of climate change . They are also more likely to suffer more", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000690:79:1:0", "surface": "country-level data", "start": 98, "end": 116, "luna": 1, "luna_split": false, "head_score": 0.9474238157272339, "extractor_score": 0.6585643291473389, "band": "keep"}, {"key": "prwp:000690:79:1:2", "surface": "Standardized World Income Inequality Database", "start": 171, "end": 216, "luna": 1, "luna_split": false, "head_score": 0.9211930632591248, "extractor_score": 0.9005388617515564, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "increase in Polish citizens ' employment rates by 0 . 5 % and a decrease in the unemployment rate by 0 . 3 % , in the preferred specification with dummy variables for all quarters . All results are statistically significant at a 0 . 01 level . * * Chart 26 . Polish citizens employment rate * * * * Chart 27 . Polish citizens unemployment rate * * Eurostat survey data , 20-64 age group Eurostat survey data , 20-64 age group 3 . 6 % 83 . 8 % 83 . 6 % 83 . 2 % * * Chart 28 . Effect of a 1 pp . change in employment share of Ukrainian refugees on * * Panel model of all 380 poviats quarterly data from Q1 2022 to Q2 2024 . Results are statistically significant at a 0 . 01 level . Polish citizens employment rate Unemployment rate 1 . 0 1 . 0 0 0 - 1 . 0 - 1 . 0 - 2 . 0 - 2 . 0 2021-Q2 2022-Q2 2023-Q2 2024-Q2 2021-Q2 2022-Q2 2023-Q2 2024-Q2 Seasonal Quarterly No time Seasonal dummies dummies dummies dummies Quarterly dummies No time dummies Source : Deloitte own elaboration based of Eurostat data ( Labour Force Survey ) . 38 Males Source : Deloitte own elaboration based Males Source : Deloitte own elaboration based of Eurostat data ( Labour Force Survey ) . Females of Eurostat data ( Labour Force Survey ) . Females Source : Deloitte own elaboration based on GUS and ZUS data . All continuous variables have been regressed in first differences to account for non-stationarity Polish citizens employment rates and registered unemployment rates . For details see the Online Technical Appendix . 39", "n": 5, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:19:2:0", "surface": "Eurostat survey data", "start": 348, "end": 368, "luna": 1, "luna_split": false, "head_score": 0.9466995596885681, "extractor_score": 0.6905222535133362, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:2:1", "surface": "Eurostat data", "start": 988, "end": 1001, "luna": 1, "luna_split": false, "head_score": 0.9870703220367432, "extractor_score": null, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:2:2", "surface": "Labour Force Survey", "start": 1004, "end": 1023, "luna": 1, "luna_split": false, "head_score": 0.9060876965522766, "extractor_score": null, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:2:3", "surface": "GUS", "start": 1268, "end": 1271, "luna": 1, "luna_split": false, "head_score": 0.965779721736908, "extractor_score": 0.6389326453208923, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:19:2:4", "surface": "ZUS data", "start": 1276, "end": 1284, "luna": 1, "luna_split": false, "head_score": 0.9316477179527283, "extractor_score": 0.673632800579071, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "income levels for many households have not returned to pre-COVID-19 levels . By April 2021 , income levels were still below pre-COVID-19 levels for at least one third of households . The second lockdown in mid-2021 is likely to have stalled and even possibly reversed progress in income recovery . In fact , 49 percent of MSMEs interviewed on the impact of the second lockdown [ 10 Uganda Comprehensive Refugee Response Portal ( https : / / data2 . unhcr . org / en / country / uga ) , September 20 , 2020 . ] ( https : / / data2 . unhcr . org / en / country / uga ) 11 Calculation based on district-level firm data from Census of Business Establishments , and refugee and host community household data from the Refugee and Host Community Household Survey . Page 10 of 92", "n": 4, "band": "keep", "mentions": [{"key": "jdc_operational:000021:15:3:0", "surface": "district-level firm data", "start": 591, "end": 615, "luna": 1, "luna_split": false, "head_score": 0.942717432975769, "extractor_score": 0.2585042417049408, "band": "keep"}, {"key": "jdc_operational:000021:15:3:1", "surface": "Census of Business Establishments", "start": 621, "end": 654, "luna": 1, "luna_split": false, "head_score": 0.9533343315124512, "extractor_score": 0.8905712962150574, "band": "keep"}, {"key": "jdc_operational:000021:15:3:2", "surface": "refugee and host community household data", "start": 661, "end": 702, "luna": 1, "luna_split": false, "head_score": 0.8944642543792725, "extractor_score": 0.7402528524398804, "band": "keep"}, {"key": "jdc_operational:000021:15:3:3", "surface": "Refugee and Host Community Household Survey", "start": 712, "end": 755, "luna": 1, "luna_split": false, "head_score": 0.8649848103523254, "extractor_score": 0.8993268609046936, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "* * The World Bank * * Sudan Basic Education Emergency Support Project ( P172812 ) 19 . The current economic analysis presents estimates of the efficiency gains in basic education to 2021 , based on enrollment estimates employing UN population projections , average values from recent years for intake into Grade 1 of basic education ( from the School Census ) relative to population , and recent trends in promotion and retention in each grade of basic school . The analysis employs the same projections as the current Education Sector Strategic Plan ( ESSP ) including for the GDP growth ( IMF / World Bank ) , share of domestic resources spent on education ( a 0 . 5 p . p . annual increase from 9 . 8 percent in 2017 / 18 ) . 20 . _Gains from improved Internal Efficiency_ . The project objective is to sustain enrollment in public schools meaning that the enrollment in target schools is to increase at the rate of the population growth \u2013 2 . 5 percent per annum : from 5 . 40 million pupils to 5 . 54 million in 2021 . The analysis is built on the assumption that survival and repetition rates will remain unchanged . 21 . We compare inefficient government spending under the expected scenario and a scenario , under which there is no increase in the student enrollment . The following formula is used to estimate inefficient spending : \ud835\udfd6 \ud835\udc99 < sup > < u > \ud835\udc8a < / u > < / sup > \u2217 \ud835\udc6e\ud835\udc99\ud835\udc8a \ud835\udc99 \ud835\udc70\ud835\udc8f\ud835\udc86\ud835\udc87\ud835\udc87\ud835\udc8a\ud835\udc84\ud835\udc8a\ud835\udc86\ud835\udc8f\ud835\udc95 \ud835\udc7a\ud835\udc91\ud835\udc86\ud835\udc8f\ud835\udc85\ud835\udc8a\ud835\udc8f\ud835\udc88 = \u2211 ( < sup > \ud835\udc6b\ud835\udc8a < / sup > \ud835\udc6e\ud835\udc8a \ud835\udc99 ) \u2217 \ud835\udc7a < sup > \ud835\udc99 < / sup > , \ud835\udc99\ud835\udc8a \ud835\udc8a = \ud835\udfcf where \ud835\udc6b\ud835\udc8a\ud835\udc99 is the dropout rates in grade \ud835\udc8a in year \ud835\udc99 in target schools ; \ud835\udc6e\ud835\udc99\ud835\udc8a is the number of pupils enrolled in grade \ud835\udc8a in year \ud835\udc99 ; \ud835\udc7a < sup > \ud835\udc99 < / sup > is the projected government spending per pupil in year \ud835\udc99 . 22 . According to the", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000024:43:0:0", "surface": "UN population projections", "start": 230, "end": 255, "luna": 1, "luna_split": false, "head_score": 0.8847684264183044, "extractor_score": 0.8207019567489624, "band": "keep"}, {"key": "refugee_pads:000024:43:0:1", "surface": "School Census", "start": 345, "end": 358, "luna": 1, "luna_split": false, "head_score": 0.9580901265144348, "extractor_score": 0.9302052855491638, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "broader coverage of refugee data beyond what is collected by UNHCR . - * * To National Statistical Offices and Ministries of Education / Higher Education : * * Improving accessibility to existing questionnaires , metadata and other documentation on official government webpages is key . Official data from administrative sources and large-scale household surveys and censuses are critical elements in ensuring a comprehensive set of data on refugee education is made available . This is especially true for EMIS , which already acts as the main tool for education data regarding SDG 4 . However , if questionnaires and metadata are not made publicly available , this hampers efficient allocation of resources and may create the illusion of data gaps and leads to the duplication of data collection efforts and inefficiencies in resource allocation . y * * Ensure data collection on refugee education goes beyond access to address the quality of learning and * * * * safety : * * While understanding access to education is a critical first step to establishing learner needs , current estimates suggest this is out of reach for 48 % of refugee children . Data on the quality of the school environment and the learning taking place in schools are what ultimately determine the ability of education administrators , including schools , to respond to learner needs and shape and nurture the overall development of children ( UNHCR , 2022a ) . These conditions are even more relevant for vulnerable populations or in the context of educational disruption , which often affects refugees . For instance , having more data on the safety and wellbeing of refugee learners and the quality of learning is critical for supporting them in achieving their potential . This is in line with the SDG 4 goal to ensure safe and quality learning for all , and specifically with SDG 4 targets 4 . c on qualified teachers , 4 . a on safe learning environments , and indicator 4 . 1 . 1 on learning . - * * To international and regional learning assessments : * * Incorporating refugee learners in existing learning assessments is a low-cost way to improve knowledge on the quality of refugee learners \u2019 education", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000382:8:1:0", "surface": "refugee data", "start": 20, "end": 32, "luna": 0, "luna_split": false, "head_score": 0.20012705028057098, "extractor_score": 0.8456496596336365, "band": "confusion"}, {"key": "reliefweb:000382:8:1:1", "surface": "large-scale household surveys and censuses", "start": 333, "end": 375, "luna": 1, "luna_split": false, "head_score": 0.4373706579208374, "extractor_score": 0.7307170629501343, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Second Kampala Institutional and Infrastructure Development Project ( P133590 ) increase on Kabuusu-Bunamwaya Road , and a 21 percent increase on Kulambiro Ring Road < sup > 6 < / sup > [ ^ 6 : KCCA / Eficon Consulting ( 2023 ) - End of Project Evaluation of the Kampala Institutional and Infrastructure Development Project ( KIIDP2 ) . ] ) . However , these figures alone cannot shed light on whether this is due to overall traffic increases in the city due to increases in vehicle ownership during the extended implementation period , whether this traffic is redirected from other roads , or whether this increase represents \u201c induced \u201d ( latent ) demand for driving . Further analysis of the impact of the roadworks on traffic congestion ( on project and non-project roads ) , travel times , traffic safety , and other metrics is necessary to fully characterize the overall impact of these works on urban mobility in the city . 26 . * * The beneficiaries are satisfied with roads and junctions improved under the project . * * A survey following project closure < sup > 7 < / sup > [ ^ 7 : Socio-Economic Data Centre . \u201c Customer And Stakeholder Satisfaction Survey for Kampala Institutional and Infrastructural Development Project \u2014 Phase II , Updated Consultancy Report . \u201d August 2023 . ] found that 95 percent of surveyed residents were aware of the project interventions under KIIDP2 , including 100 percent awareness in three out of the five divisions . On average , over 85 percent of the respondents were satisfied overall with roads and junctions under the project . As of closure , when the drainage channels were not yet completed , satisfaction with the drainage works under the project was not as high as it was for roads ( Lubigi primary channel : 36 percent satisfied ; 52 percent neutral ; 13 percent dissatisfied ; Nakamiro secondary channel : 30 percent satisfied ; 52 percent neutral ; 17 percent dissatisfied ) . The beneficiaries were however satisfied overall with the new drainage channels when compared with their expectations for the completed drainage channels . About 63 percent of people who lived / worked within proximity of", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:005558:18:0:0", "surface": "survey following project closure", "start": 1055, "end": 1087, "luna": 1, "luna_split": false, "head_score": 0.598689615726471, "extractor_score": 0.9388912320137024, "band": "keep"}, {"key": "fcv_pads_east_africa:005558:18:0:1", "surface": "Customer And Stakeholder Satisfaction Survey", "start": 1147, "end": 1191, "luna": 1, "luna_split": false, "head_score": 0.48855531215667725, "extractor_score": 0.20469824969768524, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "provided aggregated data for about 2 , 400 firms including information on the number of SOEs and their sectoral distribution based on a self-reporting survey tool of participating countries . < sup > 54 < / sup > [ ^ 54 : https : / / www . oecd . org / publications / the-size-and-sectoral-distribution-of-state-owned-enterprises-9789264280663-en . htm ] However , the OECD effort relied heavily on the local SOE definitions , which can vary substantially across jurisdiction . The IMF also collected firm-level data for about 10 , 000 SOEs leveraging the ORBIS database from _Bureau van Dijk_ for the period 2014-2016 although this one excludes SOEs operating in natural monopolies or sectors where private firms are barely present ( IMF , 2019 ) , and omits countries with fewer than 30 SOEs or restricts the sample to the largest companies implementing some thresholds in assets . < sup > 55 < / sup > [ ^ 55 : Given the low coverage for some countries such as Albania and Kosovo many were not included in the exercise . Annex 4 ( IMF , 2019 ) indicates that the IMF database does not include neither SOEs in natural monopolies nor countries with less than 30 SOEs and limit the assessment to those with total assets over USD 100 , 000 . ] The original exercise covered 20 countries in Central , Eastern and Southeastern Europe ( IMF , 2019 ) and in 2021 , it was expanded to the Middle East , North Africa , and Central Asia region ( IMF , 2021 ) . The IADB led an exercise to collect financial performance information of non-financial SOEs for 16 countries in the LAC region covering the period 2010-2016 ( Musaccio & Pineda , 2019 ) . Other efforts include an analysis of majority-owned Chinese SOEs ( Freund & Sidhu , 2017 ) ( Harrison , Meyer , Wang , Zhao , & Zhao , 2019 ) ; the IMF Fiscal Monitor , which included firms with 20 percent of state participation and above ( IMF , 2020 ) ; and the EBRD cross-country study on SOEs with about 12 , 000 companies with at least 25 % participation of the state ( Borkovic & Tabak , 2020 ) . Table A . 1", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000709:35:1:0", "surface": "ORBIS database", "start": 556, "end": 570, "luna": 1, "luna_split": false, "head_score": 0.9515175223350525, "extractor_score": 0.868943989276886, "band": "keep"}, {"key": "prwp:000709:35:1:1", "surface": "IMF Fiscal Monitor", "start": 1789, "end": 1807, "luna": 1, "luna_split": false, "head_score": 0.8992133736610413, "extractor_score": 0.7671748995780945, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Polish women . Analysis of the impact of refugees from Ukraine on the economy of Poland * * Chart 29 . Effect of a 1 pp . change in employment share of Ukrainian refugees on gross wage change * * Cross-section model of all 380 poviats in 2023 . Results are statistically significant at a 0 . 01 level . 200 150 100 50 0 OLS IV ( pupils ) IV ( 2019 ) IV ( both ) Source : Deloitte own elaboration based on GUS and ZUS data , as well as data for instrumental variables from Public Employment Services Portal and Open Data governmental portal . OLS is the standard Ordinary Least Squares model , IV are Instrumental Variables Two Stage Least Squares models with instrumental variables of the share of Ukrainian pupils in Polish schools , distribution of Ukrainians from declarations on entrusting work to a foreigner in Poland in 2019 , or both . For details see the Online Technical Appendix . Furthermore , consistent with a positive productivity shock , Polish citizens have been moving to better-paid occupations \u2013 as predicted by the theory of occupational upgrading ( e . g . , Beerli and Peri , 2018 ; Foged and Peri , 2016 ; Peri and Sparber , 2009 ) . Deloitte has acquired quarterly data on the occupational groups of Polish citizens who are insured with ZUS from Q1 2022 to Q2 2024 . This data is not exhaustive as ZUS only began requiring such information in towards higher-paid occupational groups . The share of Poles in the two lowest salary brackets ( earning less than gross PLN 4 , 000 and PLN 4 , 000-6 , 000 in 2022 ) decreased by 0 . 4 and 1 . 8 percentage points , respectively , while the subsequent higher salary brackets increased by 1 . 4 pp . ( PLN 6 , 000-8 , 000 ) , 0 . 6 pp . ( PLN 8 , 000-10 , 000 ) , and 0 . 3 pp . ( above PLN 10 , 000 ) ( see", "n": 3, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:20:1:0", "surface": "GUS", "start": 405, "end": 408, "luna": 1, "luna_split": false, "head_score": 0.9874336123466492, "extractor_score": 0.7811886072158813, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:20:1:1", "surface": "ZUS data", "start": 413, "end": 421, "luna": 1, "luna_split": false, "head_score": 0.9740670323371887, "extractor_score": 0.8283259272575378, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:20:1:2", "surface": "data for instrumental variables", "start": 435, "end": 466, "luna": 1, "luna_split": false, "head_score": 0.8665152788162231, "extractor_score": 0.6002600789070129, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "* * The World Bank * * Uganda : Investment for Industrial Transformation and Employment ( P171607 ) indicated that they struggled to make ends meet . < sup > 12 < / sup > [ ^ 12 : Federation of Small and Medium Sized Enterprises in Uganda ( August 2021 ) . ] Of those MSMEs in Kampala , 45 percent reported closing their business as a direct consequence of the pandemic . They were facing both demand ( willingness to spend ) and supply ( labor force disruptions ) constraints . Socioeconomically depressed districts , such as those hosting refugees , are expected to be even further negatively impacted . The poorest quintiles and vulnerable communities , including refugees , are already showing significant income reductions and increased food insecurity . * * B . Sectoral and Institutional Context * * 10 . * * COVID-19 remains a significant threat to emerging economic transformation in Uganda and * * * * puts prospects of new jobs in danger . * * Data from the June 2020 < sup > 13 < / sup > [ ^ 13 : Uganda Bureau of Statistics June 2020 conducted with the support of the World Bank . ] Uganda Bureau of Statistics ( UBOS ) high frequency phone survey on the impact of the COVID-19 pandemic show that the following sectors lost the highest number of workers : services 43 percent , commerce 43 percent , and transport 39 percent . It is expected that the hardest-hit firms will be exporters to international markets , manufacturing companies , and start-ups . The floriculture industry , for example , which employs over 10 , 000 people , is still facing severe disruptions in its supply chains and cancellation of orders . Restarting or continuing economic transformation will require the provision of new loans and products in the market , leaner and more efficient firms and rapid adaptation to new market conditions , and the capacity to identify new markets and sources of demand , particularly for new and exporting firms . This is consistent with the World Bank Group \u2019 s economic response including the < mark > Green , Resilient , and < / mark > < mark > Inclusive Development ( < / mark >", "n": 2, "band": "keep", "mentions": [{"key": "sample:jdc_operational:000021:16:0:0", "surface": "Data from the June 2020", "start": 955, "end": 978, "luna": 0, "luna_split": false, "head_score": 0.7489563226699829, "extractor_score": 0.7477646470069885, "band": "keep"}, {"key": "sample:jdc_operational:000021:16:0:1", "surface": "high frequency phone survey", "start": 1133, "end": 1160, "luna": 1, "luna_split": false, "head_score": 0.84239262342453, "extractor_score": 0.9261584877967834, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "5 . * * Chad \u2019 s high rate of monetary poverty is accompanied by very low human * * * * development indicators . * * Chad ranked at 185 out of 188 countries in the 2015 Human Development Index . The adult literacy rate was 47 percent , the literacy rate for men being 53 . 8 percent and that for women , 44 . 0 percent . In 2013 , the primary school completion rate stood at 38 percent , and 56 percent of 6 - to 24-year olds were not enrolled in school . In the last decade , there have been noticeable improvements in health indicators , but challenges remain , including with child , infant , and maternal mortality ratios . The Multiple Indicator Cluster Survey 2014 \u2013 2015 reports the child , infant , and maternal mortality ratios as 65 per 1 , 000 , 72 per 1 , 000 , and 860 per 100 , 000 respectively . Despite some recent improvements , the access to basic social services remains low and the number of poor and vulnerable will increase with the decline of Government spending because of the fall in oil prices and the fragile security environment . Moreover , these and other human development indicators confirm that women are more disadvantaged than men , especially when it comes to access to education and health services . 6 . * * Poverty is strongly correlated to malnutrition , which is affecting all regions of Chad . * * There is a strict correlation between monetary poverty and malnutrition , and the prevalence of global acute malnutrition ( GAM ) in the nine Sahel regions , which regularly exceeds 15 percent during the lean season , while GAM rates among children ages 6 \u2013 59 months exceeded the emergency-level threshold , with rates of 17 . 2 percent on a regional level . Pregnant and lactating women are also affected , with a relatively high malnutrition rate of 7 percent . While GAM is not considered to be a serious public health issue in the south , chronic malnutrition ranks far above the 20 percent warning threshold in seven southern regions , including Logone Occidental , where", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000028:13:0:0", "surface": "2015 Human Development Index", "start": 164, "end": 192, "luna": 1, "luna_split": false, "head_score": 0.9209847450256348, "extractor_score": 0.8863518834114075, "band": "keep"}, {"key": "refugee_pads:000028:13:0:1", "surface": "Multiple Indicator Cluster Survey", "start": 632, "end": 665, "luna": 1, "luna_split": false, "head_score": 0.9058101177215576, "extractor_score": 0.9105919599533081, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "been excluded from this review . This is the case for two main reasons : 1 ) we did not want this work [ to overlap with work being done on refugee financing and associated data , for example , from Save the Children ( 2023 ) , as well as work from the World Bank and UNHCR ] ( https : / / resourcecentre . savethechildren . net / document / the-price-of-hope / ) ( 2021 ) . ; and 2 ) as a result , this review did not include an explicit focus on data on financing ( e . g . government budgets , ODA , humanitarian aid allocations from sources such as OCHA Financial Tracking Services , the OECD Creditor Reporting Service , or International Aid Transparency Initiative data ) in order not to expand the number of DCEs to an unmanageable level . * * 16 * *", "n": 2, "band": "keep", "mentions": [{"key": "reliefweb:000382:15:3:0", "surface": "OCHA Financial Tracking Services", "start": 553, "end": 585, "luna": 0, "luna_split": false, "head_score": 0.8938280940055847, "extractor_score": 0.9454559683799744, "band": "keep"}, {"key": "reliefweb:000382:15:3:1", "surface": "OECD Creditor Reporting Service", "start": 592, "end": 623, "luna": 0, "luna_split": false, "head_score": 0.7450602054595947, "extractor_score": 0.9214915037155151, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "/ 2020 | 99 | 28-Jun-2024 | 99 | 28-Jun-2024 | 100 . 00 | May / 2025 | | Lowlands ( Percentage ) | 61 . 00 | Apr / 2020 | 99 | 28-Jun-2024 | 99 | 28-Jun-2024 | 100 . 00 | Jun / 2025 | | Cumulative public works projects for < br > which arrangements for operations < br > and maintenance are established \u2013 < br > Total ( Percentage ) | 64 . 00 | May / 2020 | 76 . 45 | 28-Jun-2024 | 76 . 45 | 28-Jun-2024 | 80 . 00 | Jun / 2025 | | Cumulative public works projects for < br > which arrangements for operations < br > and maintenance are established \u2013 < br > Total ( Percentage ) | Comments on achieving targets | Comments on achieving targets | This indicator measures the cumulative proportion of sub-projects that have clear < br > arrangements for operations and maintenance in place , based on a set of criteria . Data is < br > based on the EFY 2015 PW & LH implementation review report . | This indicator measures the cumulative proportion of sub-projects that have clear < br > arrangements for operations and maintenance in place , based on a set of criteria . Data is < br > based on the EFY 2015 PW & LH implementation review report . | This indicator measures the cumulative proportion of sub-projects that have clear < br > arrangements for operations and maintenance in place , based on a set of criteria . Data is < br > based on the EFY 2015 PW & LH implementation review report . | This indicator measures the cumulative proportion of sub-projects that have clear < br > arrangements for operations and maintenance in place , based on a set of criteria . Data is < br > based on the EFY 2015 PW & LH implementation review report . | This indicator measures the cumulative", "n": 1, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:005695:14:4:0", "surface": "EFY 2015 PW & LH implementation review report", "start": 845, "end": 890, "luna": 1, "luna_split": false, "head_score": 0.8769383430480957, "extractor_score": 0.8257626295089722, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "* * Appendix Table A2 . Data Sources for the Territorial Productivity Dynamics Analysis * * * * Country * * * * Source * * * * Lowest * * * * Admin . * * * * < u > Level < / u > * * * * Years * * < u > < mark > Mexico < / mark > < / u > < u > < mark > Census - IPUMS < / mark > < / u > < u > < mark > Municipality < / mark > < / u > < u > < mark > 1990 , 2000 , 2010 and 2015 < / mark > < / u > < mark > Brazil < / mark > < mark > Census - IPUMS < / mark > < mark > Municipality < / mark > < mark > 2000 , 2010 < / mark > < u > < mark > SEDLAC - WB < / mark > < / u > < u > < mark > Municipality < / mark > < / u > < u > < mark > 2002 , 2003 , 2004 , 2009 , 2011 , 2014 , 2015 < / mark > < / u > < mark > Colombia < / mark > < mark > VA - DANE < / mark > < mark > Municipality < / mark > < mark > 2011 , 2012 , 2013 , 2014 , 2015 , 2016 , 2017 , 2018 , 2019 < / mark > < u > < mark > SEDLAC - WB < / mark > < / u > < u > < mark > Departamento 2001 , 2002 , 2003 , 2008 , 2009 , 2010 , 2017 , 2018 , 2019 < / mark > < / u > < u > < mark > Peru < / mark > < / u > < u > < mark > SEDLAC-WB < / mark > < / u > < u > <", "n": 2, "band": "confusion", "mentions": [{"key": "prwp:000726:43:0:0", "surface": "Census - IPUMS", "start": 252, "end": 266, "luna": 1, "luna_split": false, "head_score": 0.28906843066215515, "extractor_score": 0.7416667342185974, "band": "confusion"}, {"key": "prwp:000726:43:0:4", "surface": "SEDLAC-WB", "start": 1077, "end": 1086, "luna": 1, "luna_split": false, "head_score": 0.505761444568634, "extractor_score": 0.5741018652915955, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "by 1 . 4 pp . ( PLN 6 , 000-8 , 000 ) , 0 . 6 pp . ( PLN 8 , 000-10 , 000 ) , and 0 . 3 pp . ( above PLN 10 , 000 ) ( see Chart 30 ) . Third , cross-section regression analysis shows that poviats with a higher number of Ukrainian refugees saw a greater increase in wages , which was caused by larger share of refugees in local employment . Due to limitations in the wage dataset , our calculations incorporated yearly data . Cross-section models were estimated using a data sample for all 380 poviats in 2023 . The share of Ukrainian refugees among all employed , temporarily employed , and self-employed persons insured at ZUS in a given poviat was averaged across quarters to construct a yearly variable . The wage variable is the GUS data series on gross monthly wages and salaries < sup > 30 < / sup > [ ^ 30 : Unfortunately , GUS data for these time periods and poviat level include the enterprise sector ( firms that employ 10 or more persons ) and public sector , which is most of the labour market , but not the total economy . ] , and taken as nominal change in 2023 from 2022 . The ordinary least squares cross-section model shows that in 2023 , a 1 percentage point increase in the employment share of Ukrainian refugees was associated with an increase in wages of PLN 66 . Given that in a mean poviat gross wage growth amounted to PLN 757 and the gross wage in the previous year was PLN 5 , 803 , wages have grown by 13 . 1 % in nominal terms ( including inflation ) , of which 0 . 7 percentage points were associated with Ukrainian refugees ( considering the fact that the employment share of the Ukrainian refugees in a mean poviat was 0 . 61 % ) . Instrumental variables regressions were performed with the Two Stage Least Squares technique . In the first stage , it adjusts for the non-random distribution of Ukrainian refugees across poviats , and in the second stage , it calculates the models . These results can be interpreted causally . The", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:20:2:0", "surface": "wage dataset", "start": 366, "end": 378, "luna": 1, "luna_split": false, "head_score": 0.8434262871742249, "extractor_score": 0.8071897625923157, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:20:2:1", "surface": "yearly data", "start": 411, "end": 422, "luna": 1, "luna_split": false, "head_score": 0.7391231656074524, "extractor_score": 0.7103866338729858, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:20:2:2", "surface": "GUS data series", "start": 733, "end": 748, "luna": 1, "luna_split": false, "head_score": 0.9032551050186157, "extractor_score": 0.8489927053451538, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:20:2:3", "surface": "GUS data", "start": 831, "end": 839, "luna": 1, "luna_split": false, "head_score": 0.8698701858520508, "extractor_score": 0.5747267603874207, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "COVID-19 pandemic , and Uganda will likely be adversely affected by this . < sup > 22 < / sup > [ ^ 22 : Uganda remittances were US $ 1 . 3 billion in 2019 , US $ 1 . 425 billion in 2018 , and US $ 1 . 2 billion in 2017 \u2014 World Bank 2017 \u2013 2019 data . ] * * Issues that Need to Be Addressed in the Medium-Term to Continue and Restart Economic Transformation and * * * * Job Creation * * 13 . * * Overall , the financial sector in Uganda is not positioned to mitigate liquidity shocks . * * Despite being well capitalized and profitable , the sector exhibits a lack of innovation and its services fail to reach large segments of the market . As of June 2020 , the sector remains adequately capitalized , with the aggregate industry total capital and core capital adequacy ratios at 22 . 7 percent and 21 . 1 percent , which are well above the minimum capital adequacy requirements of 12 percent and 10 percent respectively . However , NPLs in commercial banks rose to 6 . 01 percent as of June 2020 , up from 3 . 79 percent a year earlier . Between March and July 2020 , new loan disbursements in Tier 1-3 institutions declined sharply . Movement restrictions , changes in branch opening hours and declines in loan demand led to a strong decline in loan applications . From March to April 2020 , loan applications declined by 91 percent in number and 52 percent in terms of value . In the subsequent quarter loan growth very gradually began to pick up again growing 6 . 35 percent in value terms . < sup > 23 < / sup > [ ^ 23 : Economic Policy Research Center ( EPRC ) , 2020 . ] Even prior to the crisis , formal financial sector lending to MSMEs remained moderate . 14 . * * The low capacity of Small and Medium Enterprises ( SMEs ) is a barrier to further growth . * * SMEs face challenges with producing at the scale and efficiency required of export markets . According to a survey conducted in 2014 , < sup >", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000021:17:1:0", "surface": "World Bank 2017 \u2013 2019 data", "start": 222, "end": 249, "luna": 1, "luna_split": false, "head_score": 0.8695813417434692, "extractor_score": 0.9354791641235352, "band": "keep"}, {"key": "jdc_operational:000021:17:1:1", "surface": "survey conducted in 2014", "start": 1879, "end": 1903, "luna": 0, "luna_split": false, "head_score": 0.8732253909111023, "extractor_score": 0.9259639382362366, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "terms of nutrition as any deficiencies not resolved by the end of this period is very likely to be irreversible . To also encourage older children to receive adequate nutrition and benefit from routine health check-ups , the targeting range includes all households with children under the age of 12 years old including pregnant women . In rural Chad , almost all poor households have children under the age of 12 years old . 17 . * * The program will reach an estimated 6 , 200 poor households , in both the southern * * * * Sudanian and Sahel regions . * * The analytical work preceding the preparation of the project indicates that chronic poverty and vulnerability is present in the southern Sudanian region . For example , comparisons between 2003 and 2011 household surveys ( ECOSIT 2 and 3 ) the food poverty rate increased substantially in the three southern regions ( Guera and Salamat from 35 percent to 42 percent and Logone Occidental from 38 . 6 percent to 46 . 4 percent ) . However , the southern Sudanian region has few existing SP programs and interventions by donor partners are very limited , while the Government has virtually no assistance programs . In the Sahel area , there is a noticeable presence of development partners , responding to cyclical food insecurity . However , many of these programs are in need of further harmonization and of a shared platform on which to build common databases to register potential and current beneficiaries , coordinate on targeting or enrollment into social assistance programs , and then monitor the implementation and effectiveness of these programs . In the Sahel , this subcomponent would pilot project approaches that can support such harmonization and the building of a common platform . For the purpose of the pilot under this component , the following two regions have been retained : BEG in the Sahel area , and Logone Occidental in the Sudanian region . Besides being affected by deep poverty ( households in food poverty represents 23 percent in BEG and 38 percent Logone Occidental ) , both present the abovementioned challenges of limited donor", "n": 2, "band": "keep", "mentions": [{"key": "refugee_pads:000028:41:0:0", "surface": "household surveys", "start": 761, "end": 778, "luna": 1, "luna_split": false, "head_score": 0.9248387813568115, "extractor_score": 0.1585783213376999, "band": "keep"}, {"key": "refugee_pads:000028:41:0:1", "surface": "ECOSIT 2", "start": 781, "end": 789, "luna": 1, "luna_split": false, "head_score": 0.8265597820281982, "extractor_score": 0.9349130988121033, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "transparency \u2013 maximizing the availability of < br > disaggregated data \u2013 confdentiality , and privacy to ensure personal data is not < br > abused , misused , or putting anyone at risk of identifcation or discrimination , < br > in accordance with national laws and the Fundamental Principles of Ofcial < br > Statistics . | | 5 | Human and technical capacity < br > to collect , analyse , and use < br > disaggregated data must be < br > improved , including through < br > adequate and sustainable < br > fnancing | We recognize that collecting and analysing disaggregated data requires < br > the development of specifc skills . We recognize the need to fnance data < br > collection , analysis , and use appropriately and sustainably so that high-quality < br > data can be collected and used by governments as well as by businesses , civil < br > society , and citizens . | _Source : _ Global Partnership for Sustainable Development Data , 2022 One clear pathway for increasing the availability of data on refugees is intentionally including them in existing DCEs rather than conducting additional ad hoc DCEs or having them included in an unrepresentative way in larger DCEs covering their area of residence . Historically , the use of proxies in capturing refugee status has been common practice in research on refugees . Assessing the research landscape on economic integration , Donato and Ferris ( 2020 , p . 24 ) state that \u2018 most studies differentiate refugees from other immigrants without observing refugee status directly . Instead , they use national origin to approximate refugee status or create synthetic cohorts \u2019 . Similar methods have been used with OECD \u2019 s Programme for International Student Assessment ( PISA ) data to distinguish between the performance of \u2018 natives \u2019 and \u2018 migrants \u2019 ( Behr and Fugger , 2020 ) , and nationality is also used in many EMIS as a proxy for refugee status ( UNESCO , 2023 ; UIS and UNHCR ,", "n": 1, "band": "confusion", "mentions": [{"key": "reliefweb:000382:17:1:0", "surface": "disaggregated data", "start": 53, "end": 71, "luna": 0, "luna_split": false, "head_score": 0.09297724813222885, "extractor_score": 0.7100384831428528, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Integrated Water Management and Development Project ( P163782 ) PROJECT PAPER | Description | Percent of service areas supported by the project that achieve cost recovery ratio of 1 . 1 . Cost recovery ratio is the revenues collected over operating < br > expenses for selected service areas under the project . Baseline was derived from the existing service areas that have been gazetted : Gulu , Mbale , < br > Adjumani , Busia , Namasale , Kyegegwa-Mpara-Ruyonza , Namungalwe-Kaliro and Budaka-Kadama-Tirinyi-KibukuButaleja-Busolwe . | | - - - | - - - | | Frequency | Bi-annually | | Data source | Primary sources include : MWE UPMIS system , NWSC Accounting System ( SCALA ) , Refugee Database . Secondary sources include : MWE / DWD progress < br > reports , annual water and environments sector performance report and NWSC annual report . | | Methodology for Data < br > Collection | desk review of project and sector reports | | Responsibility for Data < br > Collection | MWE / DWD Rural and Urban / NWSC | | PDO Outcome | * * To improve access to water supply and sanitation services * * * * in areas that are extremely vulnerable to floods and droughts * * | | Indicator Name | * * People provided with access to improved water sources ( Number ) * * | | Description | People benefiting from improved water supply services that have been constructed or rehabilitated under the project . Calculated from the numbers of < br > connections made , assuming : - 6 people per connection in large towns ( Gulu , Mbale ) , 18 people ( 3 HHs ) per connection for yard taps in small towns < br > and RGCs and 250 people per public standpost |", "n": 2, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:005811:37:0:0", "surface": "MWE UPMIS system", "start": 650, "end": 666, "luna": 1, "luna_split": false, "head_score": 0.7847561240196228, "extractor_score": 0.9761433601379395, "band": "keep"}, {"key": "fcv_pads_east_africa:005811:37:0:2", "surface": "Refugee Database", "start": 704, "end": 720, "luna": 1, "luna_split": false, "head_score": 0.7461199760437012, "extractor_score": 0.9637061357498169, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": ". 04 0 . 02 0 . 03 * * Employment * * * * ( of * * * * household * * * * head ) : * * Not in labor force 0 . 12 0 . 13 0 . 11 0 . 14 0 . 11 0 . 11 0 . 12 0 . 11 0 . 10 0 . 13 Unemployed 0 . 03 0 . 04 0 . 02 0 . 05 0 . 02 0 . 02 0 . 04 0 . 02 0 . 02 0 . 03 Employed in Agriculture 0 . 52 0 . 14 0 . 71 0 . 07 0 . 48 0 . 70 0 . 26 0 . 66 0 . 70 0 . 65 Employed in Industry 0 . 08 0 . 14 0 . 05 0 . 15 0 . 09 0 . 05 0 . 12 0 . 06 0 . 05 0 . 05 Employed in Services 0 . 26 0 . 55 0 . 12 0 . 58 0 . 30 0 . 13 0 . 46 0 . 16 0 . 13 0 . 15 * * Access * * * * to * * * * basic * * * * services * * Improved water 0 . 69 0 . 84 0 . 62 0 . 88 0 . 75 0 . 61 0 . 82 0 . 63 0 . 63 0 . 60 Improved sanitation facility 0 . 24 0 . 40 0 . 17 0 . 46 0 . 27 0 . 16 0 . 37 0 . 15 0 . 20 0 . 19 Access to electricity 0 . 48 0 . 82 0 . 32 0 . 85 0 . 53 0 . 33 0 . 69 0 . 36 0 . 39 0 . 34 Source : International Urban Poverty Database . Note : WorldPop 250m is used for the DOU and DB methods . find that the gaps in household characteristics between urban cores and other areas are narrower . On several indicators , people in rural towns appear to be worse off compared to those in other rural areas . Specifically , compared to other rural areas , households in rural", "n": 2, "band": "keep", "mentions": [{"key": "prwp:000732:15:1:0", "surface": "International Urban Poverty Database", "start": 874, "end": 910, "luna": 1, "luna_split": false, "head_score": 0.9018450975418091, "extractor_score": 0.8619830012321472, "band": "keep"}, {"key": "prwp:000732:15:1:1", "surface": "WorldPop 250m", "start": 920, "end": 933, "luna": 1, "luna_split": false, "head_score": 0.8363218903541565, "extractor_score": 0.8528305292129517, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "whom are also women ; see charts below ) . Analysis of the impact of refugees from Ukraine on the economy of Poland In the model , shocks were calibrated using data for 2022-2024 . In the case of 2022 , we adjusted the data to reflect refugee arrivals after February , fixing their share at roughly 2 . 6 percent of the population per PESEL registry figures . We then calibrated refugee employment to match the NBP \u2019 s 2022 survey ( NBP , 2024 ) , the UNHCR \u2019 s 2023 MSNA , and the 2024 SEIS survey - implying their employment share rose from 1 . 5 percent to 2 . 4 percent of total employment in Poland . To keep the regional labour supply balance , equivalent offsets were applied in the broader Eastern Europe aggregate . < sup > 35 < / sup > [ ^ 35 : Aggregate region in the D . Climate model , that consists of Ukraine , Russia , Belarus , Moldova , Czechia , Slovakia , Hungary , Romania , and Bulgaria . ] Furthermore , it was assumed that refugees have higher spending needs and thus a lower saving rate than other earners in Poland for 2022 and 2023 . Moreover , according to National Bank of Ukraine data , the consumption of Ukrainian refugees has been partially financed by savings in Ukrainian banks in 2022 and 2023 , which was modelled as them having a negative saving rate , while being offset by lowering investment levels in Eastern Europe . < sup > 36 < / sup > [ ^ 36 : In other words , it was assumed that money that would be spent e . g . through credit action for investments in Eastern Europe were spent for consumption in Poland . ] By 2024 , it was assumed that their situation on the labour market had stabilised and that there had been no further changes in their savings . Deloitte D . Climate , < sup > 32 33 < / sup > is a general equilibrium model that uses consumer and producer optimisation to calculate changes in the economy in response to shocks . This enables the impact of shocks to be assessed by considering supply and", "n": 5, "band": "keep", "mentions": [{"key": "jad_paddy_docs:000001:21:1:0", "surface": "PESEL registry figures", "start": 335, "end": 357, "luna": 1, "luna_split": false, "head_score": 0.9532264471054077, "extractor_score": 0.9200824499130249, "band": "keep"}, {"key": "jad_paddy_docs:000001:21:1:1", "surface": "NBP \u2019 s 2022 survey", "start": 411, "end": 430, "luna": 1, "luna_split": false, "head_score": 0.8878551125526428, "extractor_score": 0.8301699161529541, "band": "keep"}, {"key": "jad_paddy_docs:000001:21:1:2", "surface": "2023 MSNA", "start": 462, "end": 471, "luna": 1, "luna_split": false, "head_score": 0.891523540019989, "extractor_score": 0.6583213210105896, "band": "keep"}, {"key": "jad_paddy_docs:000001:21:1:3", "surface": "2024 SEIS survey", "start": 482, "end": 498, "luna": 1, "luna_split": false, "head_score": 0.8940573334693909, "extractor_score": 0.7881291508674622, "band": "keep"}, {"key": "jad_paddy_docs:000001:21:1:4", "surface": "National Bank of Ukraine data", "start": 1085, "end": 1114, "luna": 1, "luna_split": false, "head_score": 0.9439512491226196, "extractor_score": 0.8667279481887817, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "conducted in 2014 , < sup > 24 < / sup > SME capacity is very low ; only 28 percent do book-keeping to track revenues and expenses ; a mere 10 percent have invested in training or human capital services for employees ; and just 36 percent have access to the internet . Female-owned firms appear to be particularly lacking when it comes to the use of standard business practices , with recent microenterprise survey data from Uganda showing a gender gap of 24 percentage points 19 The financial sector in Uganda is divided into four tiers . Tiers 1 \u2013 3 are regulated and supervised by the Bank of Uganda and Tier 4 is regulated by Uganda Microfinance Regulatory Authority ( UMRA ) . 20 See Uganda - Policy , Regulator , Supervisory response to COVID-19 responses for Micro Finance , CGAP . 21 See Uganda - Policy , Regulator , Supervisory response to COVID-19 responses for Micro Finance , CGAP . 22 Uganda remittances were US $ 1 . 3 billion in 2019 , US $ 1 . 425 billion in 2018 , and US $ 1 . 2 billion in 2017 \u2014 World Bank 2017 \u2013 2019 data . 23 Economic Policy Research Center ( EPRC ) , 2020 . 24 The survey conducted 1 , 839 face-to-face interviews with SMEs in Uganda . Drawn from the UBOS census of business establishments , the sample is considered to be nationally representative . Nathan Associates performed the data collection between March and August 2014 , with funding from Financial Sector Deepening Uganda . Page 12 of 92", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000021:17:2:0", "surface": "microenterprise survey data from Uganda", "start": 392, "end": 431, "luna": 1, "luna_split": false, "head_score": 0.9132021069526672, "extractor_score": 0.9020119905471802, "band": "keep"}, {"key": "jdc_operational:000021:17:2:1", "surface": "UBOS census of business establishments", "start": 1192, "end": 1230, "luna": 1, "luna_split": false, "head_score": 0.9772711396217346, "extractor_score": 0.8900229930877686, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "on electronic devices ( such as tablets or laptops with card readers ) . This information will then be transmitted confidentially to the CFS beneficiary database for the project and will be included in the registry . This database will contain all of the information related to the registration of beneficiaries and their updates as well as their payment information . It will also retain information on the other households that were surveyed during the PMT survey , but who were not eligible for the CT program . The development of unique identifier numbers for each household included in the registry is crucial for coordinating different safety net and other social programs using the database . 25 . * * Accompanying measures will help improve awareness and behaviors at household * * * * level in support of human development , especially child growth and nutrition . * * These accompanying measures will be limited to demand-side measures and include information on the project \u2019 s objectives and social and behavior change communication for improved welfare and human capital of the household . The component will support training for and delivery of social and behavior change communication services , including advocacy , group education , and interpersonal communication on nutrition , basic health care and sanitation to all participating households . It is expected that most sessions will take place during payment days , every two months . A study will be undertaken during project preparation to explore and define possible themes and delivery mechanisms . This study could also assess the desirability and feasibility of technical training for beneficiaries of the program . Accompanying measures will account for 10 percent of the subcomponent costs . Delivery of accompanying measures will involve the provision of technical assistance , training and goods required for the purpose . Accompanying measures will be exclusively financed by IDA . * * Component 2 : Development of Service Delivery Instruments ( US $ 1 . 6 million \u2013 ASP MDTF * * * * Financed ) * * 26 . * * This component will support the design and development of systems to support the * * * * safety nets and establish the foundations of a coherent and responsive safety", "n": 2, "band": "confusion", "mentions": [{"key": "refugee_pads:000028:43:0:0", "surface": "CFS beneficiary database", "start": 137, "end": 161, "luna": 0, "luna_split": false, "head_score": 0.11789806932210922, "extractor_score": 0.942643940448761, "band": "confusion"}, {"key": "refugee_pads:000028:43:0:1", "surface": "PMT survey", "start": 455, "end": 465, "luna": 1, "luna_split": false, "head_score": 0.4355044662952423, "extractor_score": 0.9276427030563354, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "from country to country , as do data collection methods , frequency , and the type of information collected . However , at the global level , systematic and institutionalized efforts to produce refugee education data may be observed . The primary reference for global refugee data is UNHCR \u2019 s annual education report , which was first published in 2016 ( UNHCR , 2016 ; UNHCR , 2017 ; UNHCR , 2018 ; UNHCR , 2019c ; UNHCR , 2020a ; UNHCR , 2021a ; UNHCR , 2022a ) . UNHCR \u2019 s efforts to collect data on refugee education have allowed for greater representativeness of these reports . As a result , in 2022 , UNHCR provided information on global refugee enrolment rates based on data collected in 44 countries . This represents a significant improvement with respect to the 2021 report , where estimations relied on data from a mere 12 countries . Furthermore , the 2022 report also contains out-of-school rates and refugee pass rates in a subgroup of countries , providing a more nuanced picture of refugee access , attainment and learning ( see UNHCR , 2021a ; UNHCR , 2022a ) . However , data is often aggregated at a global level , which limits understanding of variations across contexts . Further , the raw data are not made publicly available , and as a result , the quality of the data presented has been difficult to ascertain . Nor has the data been clearly benchmarked against SDG 4 monitoring requirements , even though some indicators do overlap . These additions would increase the utility of these global aggregations and provide credible insights into country-level work . Nevertheless , given relatively low levels of country and indicator coverage , supplementary data sources must be mobilized to complete the picture of the state of refugee education at all scales . [ Another key reference for refugee data is the UNHCR ] ( https : / / microdata . unhcr . org / index . php / home ) [ Microdata Library , which contains microdata on ] ( https : / / microdata . unh", "n": 2, "band": "confusion", "mentions": [{"key": "reliefweb:000382:19:1:0", "surface": "refugee education data", "start": 194, "end": 216, "luna": 0, "luna_split": false, "head_score": 0.2846009433269501, "extractor_score": 0.8482678532600403, "band": "confusion"}, {"key": "reliefweb:000382:19:1:1", "surface": "data collected in 44 countries", "start": 679, "end": 709, "luna": 1, "luna_split": false, "head_score": 0.7372829914093018, "extractor_score": 0.926466166973114, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Health Sustainable Development Goals Program-for-Results ( P123531 ) | Contraceptive prevalence rate ( CPR ) ( for rural women < br > only ) | 32 % | 37 . 7 % | 38 % | | - - - | - - - | - - - | - - - | | Percent of pregnant women taking iron and folic acid < br > ( IFA ) | 42 . 1 % | 60 % | 54 . 1 % | | Percent of Children 6-59 months receiving Vitamin A < br > Supplements | 45 % | 45 % * | 53 % | - No updates will be verified by next DHS survey planned for 2021 Data sources : Ethiopia Demographic Health Survey ( EDHS ) 2016 report ; 2019 Mini-DHS ; Nutrition Data Verification Joint Review Mission Report , Dec 2018 ; 2012 HMIS Data Quality Assessment ( DQA ) Report ; 2014 HMIS DQA and current data from 2018 SARA report . 4 . With respect to the three IPF sub-components , the Program status is as follows : * * ( a ) * * * * _Sub-component_ * * * * _I : Support for Civil Registration and Vital Statistics ( CRVS ) System_ * * : The February 2022 implementation support mission noted improvements in the implementation of the remaining activities . Advocacy , awareness raising activities and workshops on CRVS have been conducted at federal , regional , woreda and kebele levels that included cultural and religious leaders to create public awareness on the importance of CRVS . A Memorandum of Understanding ( MOU ) was signed between the Addis Ababa City religious leaders and the Addis Ababa City Administration Vital Event Agency to closely work on the CRVS agenda . The regional Vital Events Registration Agencies ( RVERAs ) and cultural and religious leaders also signed an MOU to strengthen vital events registration system in the regions . The printing of awareness education materials ( in four languages ) is complete and", "n": 2, "band": "keep", "mentions": [{"key": "fcv_pads_east_africa:005887:5:0:0", "surface": "Ethiopia Demographic Health Survey", "start": 505, "end": 539, "luna": 1, "luna_split": false, "head_score": 0.882537841796875, "extractor_score": 0.9445525407791138, "band": "keep"}, {"key": "fcv_pads_east_africa:005887:5:0:4", "surface": "2014 HMIS DQA", "start": 699, "end": 712, "luna": 1, "luna_split": false, "head_score": 0.8583993315696716, "extractor_score": 0.8250824809074402, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "* * BOX * * * * 4 : * * * * Adoption * * * * of * * * * Tax * * * * E-services * * * * in * * * * Africa * * * * Problem : * * Traditional tax processes involve paper-based filing and extensive in-person interactions between taxpayers and tax officials . This system creates several challenges such as large compliance costs , collusion with tax officials or extortion by them , and poor tax records that limit the potential of tax agencies to conduct analyses for compliance monitoring and forecasting . Whereas new technology to digitize taxpayer services may hold a lot of promise , important barriers to adoption of these technologies may severely curb the potential for revenue mobilization . * * Technology * * * * intervention : * * Many African governments have been heavily investing in eservices as a way to move from paper-based systems to fully digital platforms . As an example of such e-services , e-filing and e-payment facilities enable digital filing of returns and digital payment of tax liabilities . These e-services often live within integrated and automated tax administration systems . The associated web portals also provide a range of benefits in terms of clear information on deadlines , access to assistance , and better record-keeping . * * Research * * * * design : * * A number of studies from Africa attempt to understand the barriers to access of such e-services . These studies are typically based on surveys of representative samples of taxpayers , collecting detailed information around taxpayer experiences with e-services . In the case of Rwanda , Santoro et al . ( 2022 ) originally link survey data with tax administration data , in order to gain more information around taxpayers and their filing behavior . * * Results : * * Lack of awareness and lack of training are key factors that have been identified in both Nigeria ( Mas \u2019 ud , 2019 ) and Zimbabwe ( Obert et al . , 2018 ) as barriers to adoption of eservices", "n": 3, "band": "keep", "mentions": [{"key": "sample:prwp:000739:23:0:0", "surface": "surveys of representative samples of taxpayers", "start": 1434, "end": 1480, "luna": 1, "luna_split": false, "head_score": 0.7532855868339539, "extractor_score": 0.9064947366714478, "band": "keep"}, {"key": "sample:prwp:000739:23:0:1", "surface": "survey data", "start": 1626, "end": 1637, "luna": 1, "luna_split": false, "head_score": 0.6931420564651489, "extractor_score": 0.8571792244911194, "band": "keep"}, {"key": "sample:prwp:000739:23:0:2", "surface": "tax administration data", "start": 1643, "end": 1666, "luna": 1, "luna_split": false, "head_score": 0.7112777233123779, "extractor_score": 0.9179407358169556, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "the economy . It provides information on the total impact of shocks on various aspects of the economy , including the labour market , government revenue , as well as key economic aggregates . It is the most appropriate tool for accounting for the multi-layered impact of Ukrainian refugees . A counterfactual analysis was performed using the latest data on the Polish economy to account for the effects of other shocks in the economy . The model enabled a counterfactual analysis to be conducted by isolating the refugee influx from all other economic shocks , e . g . the other macroeconomic consequences of the war in Ukraine . The results were calculated for 2022 , 2023 and 2024 with an additional long-term analysis up to 2030 to assess the economy \u2019 s long-term adaptation ( assuming no new shocks , including no countershocks < sup > 34 < / sup > [ ^ 34 : E . g . refugees keep having lower productivity rather than adapt to level of natives . ] ) . 32 < u > Economics of climate change | Deloitte Australia < / u > * * Chart 32 . Average weekly hours in main job * * Women in 15-64 age group 68 . 4 % 2023-Q2 68 . 8 % 2024-Q2 2021-Q2 67 . 5 % 2022-Q2 40 . 3 40 . 3 40 . 4 40 . 4 Source : Deloitte own elaboration based of Eurostat data ( Labour Force Survey ) . Source : Deloitte own elaboration based of Eurostat data ( Labour Force Survey ) . Part-time Full-time 31 Deloitte has not received data that would be detailed as to citizenship , poviat , sex , age group , occupational group , and ZUS insurance code that would be suitable for econometric approach . 42 33 < u > https : / / www2 . deloitte . com / pl / pl / pages / risk / solutions / analiza-ryzyk-klimatycznych-badanie-scenariuszy-z-modelem-DClimate . html34 < / u > 34 E . g . refugees keep having", "n": 3, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:21:2:0", "surface": "data on the Polish economy", "start": 349, "end": 375, "luna": 1, "luna_split": false, "head_score": 0.723204493522644, "extractor_score": 0.7047176361083984, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:21:2:1", "surface": "Eurostat data", "start": 1230, "end": 1243, "luna": 1, "luna_split": false, "head_score": 0.9659311771392822, "extractor_score": 0.6412091255187988, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:21:2:2", "surface": "Labour Force Survey", "start": 1246, "end": 1265, "luna": 1, "luna_split": false, "head_score": 0.8246592879295349, "extractor_score": 0.6029677391052246, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jdc_operational", "split": "train", "ctx": "other development partners have shown the scope for efficiency gains , notably through profitable investments in technologies and processes for resource efficiency and cleaner production . 16 . * * In addition , the regulatory and enabling environment is not supportive of new growth sectors . * * Discussions with Ugandan private sector actors and government officials indicate significant challenges with regulatory enforcement , contract enforcement , and the public private interface . A countrywide survey commissioned in 2017 by the Uganda National Bureau of Standards ( UNBS ) found that 54 percent of the products in the Ugandan market are either fake or counterfeit . The number of backlogged civil suits in the commercial court system ( which account for most of all substantive cases ) has increased . Private investors have reported that the process to obtain an investment license is cumbersome . 17 . * * There is lack of investment in new production locations and markets , that is caused by inadequate * * * * access to basic private sector services . * * Land officially earmarked for industrial use \u2014 with appropriate access to infrastructure services and reflecting sound environmental and social ( E & S ) planning \u2014 is not easily accessible outside of the main Southern Corridor along the Kampala road to the east and west , particularly for new and / or foreign investors . Government services in support of new investors ( permits , certification , and so on ) are generally difficult to access outside greater Kampala . An investment outside Kampala faces significantly longer lead times and higher transactions costs than comparable investments within the Kampala region . As a result , the cost of locating into new regions and markets of Uganda is prohibitively high and deters potential first-movers from investing . * * Refugees and Host Sector Specific Issues * * 18 . * * There are few medium-to-large enterprises in RHDs that could stimulate the local product or labor * * * * market . * * The business census recorded a total of 165 enterprises in Arua district that employ more than 10 workers ( less than 1 firm per square kilometer", "n": 2, "band": "keep", "mentions": [{"key": "jdc_operational:000021:18:1:0", "surface": "countrywide survey commissioned in 2017", "start": 492, "end": 531, "luna": 1, "luna_split": false, "head_score": 0.8374244570732117, "extractor_score": 0.9323863387107849, "band": "keep"}, {"key": "jdc_operational:000021:18:1:1", "surface": "business census", "start": 2026, "end": 2041, "luna": 1, "luna_split": false, "head_score": 0.9183213114738464, "extractor_score": 0.9416993856430054, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "refugee_pads", "split": "train", "ctx": "to identify extremely poor households in areas known to be facing chronic poverty , yet also support the data requirements to build the HEA baseline model to cover areas where transient food security is the more pressing concern . Data collection will therefore be harmonized with a single questionnaire , but different formulas or methodological approaches will then be applied depending on whether beneficiary households are in areas of chronic poverty ( in the south ) or food insecurity ( Sahel ) . 28 . * * The proposed project will use a combination of targeting mechanisms . * * Beneficiary households will be selected combining geographic poverty targeting with a census of households in selected villages , followed by categorical targeting ( households with children under the age of 10 ) and a PMT screening which will then be discussed and validated by the community . Once the village is selected , data will be collected for all households , following a list of variables and based on the experience of other targeting techniques , namely the HEA . This will allow the calculation of a PMT score to be used to select among those households that have passed the categorical filter . The community will then discuss the list and validate it if in agreement . This approach will , reduce potential inclusion errors , link with existing approaches such as the HEA , and lay the foundation of a methodological approach to support the establishment of a social registry . 29 . * * Registration system and social registry . * * Based on the harmonized data collection procedures and survey instruments , the project will support the Government in developing a social registry , which will eventually function as a single registry . A social registry is a database that is capable of collecting , analyzing and storing the following information : personally identifying data ( either at an individual level or grouped into family or households ) ; socioeconomic data which would be used to classify individual identities into poverty or vulnerability categories through the application of PMT . Hence , the social registry supports targeting , scoring , selection , on-boarding , identification , and , verification processes all linked to", "n": 3, "band": "confusion", "mentions": [{"key": "sample:refugee_pads:000028:44:0:0", "surface": "census of households", "start": 672, "end": 692, "luna": 0, "luna_split": false, "head_score": 0.5917907357215881, "extractor_score": 0.9323355555534363, "band": "keep"}, {"key": "sample:refugee_pads:000028:44:0:1", "surface": "personally identifying data", "start": 1853, "end": 1880, "luna": 0, "luna_split": false, "head_score": 0.12984754145145416, "extractor_score": 0.5058386921882629, "band": "confusion"}, {"key": "sample:refugee_pads:000028:44:0:2", "surface": "socioeconomic data", "start": 1954, "end": 1972, "luna": 0, "luna_split": false, "head_score": 0.20123173296451569, "extractor_score": 0.8475486636161804, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "reliefweb", "split": "train", "ctx": "data , and highlight countries \u2019 promising practices , they remain localized evidence which is often not representative of refugees at the national level , for example in Cameroon , Chad , Colombia , Ecuador , Peru , T\u00fcrkiye , Zambia , Ethiopia , and South Sudan ( Mert and Kesbi\u00e7 , 2019 ; Hure and Taylor , 2019 ; Acar , Pinar-Irmak , and Martin , 2019 ; Pinna , 2020 ; UNHCR , 2022d ; World Bank , 2023 ) . A key point from the literature is that data beyond access at the primary and secondary levels , < sup > 14 < / sup > such as ECCE , pre-primary , vocational , and tertiary education , * * Introduction and background * * < u > Paving pathways for inclusion : A global overview of refugee education data < / u > are largely missing ( see Lobos , 2022 ; Mert and Kesbi\u00e7 2019 ; UNESCO , 2020 ; UIS and UNHCR , 2021 ) . Based on UIS and UNHCR ( 2021 ) the most pressing information gaps lie in the domains of education quality ( e . g . learning and teachers ) and school safety ( e . g . peer violence ) . On quality , a recent review of publicly available data on learning for refugees found that the availability of data is limited in scope and mainly produced to serve donor reporting needs , and that government data on refugee learners were not publicly available . Further , their critical appraisal was challenged by insufficient information on the research methods of the included studies ( UNHCR , Oxford MeasureEd and Cambridge Education , 2023 ) . The number of countries that disaggregate their national assessments or examinations to allow insights into refugee learning is limited , and they often do so by using proxies for refugee status , such as nationality ( e . g . Colombia , Chad ) . This may not be useful in contexts where refugees hold multiple nationalities or where there is a long history of migration between the", "n": 3, "band": "keep", "mentions": [{"key": "sample:reliefweb:000382:20:1:0", "surface": "refugee education data", "start": 689, "end": 711, "luna": 0, "luna_split": false, "head_score": 0.6794113516807556, "extractor_score": 0.7844156622886658, "band": "keep"}, {"key": "sample:reliefweb:000382:20:1:1", "surface": "publicly available data on learning for refugees", "start": 1044, "end": 1092, "luna": 1, "luna_split": false, "head_score": 0.8042884469032288, "extractor_score": 0.7497811317443848, "band": "keep"}, {"key": "sample:reliefweb:000382:20:1:2", "surface": "government data on refugee learners", "start": 1211, "end": 1246, "luna": 0, "luna_split": false, "head_score": 0.49652400612831116, "extractor_score": 0.8355568647384644, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "fcv_pads_east_africa", "split": "train", "ctx": "* * The World Bank * * Additional Financing Ethiopia Electrification Program ( P178895 ) affordability constraints have not kept them from making new connections to date , they anticipate affordability may present a constraint in the medium-to-long term . Namely , as the grid reaches more remote areas , the cost of new connections is expected to rise ( with lower population density in unelectrified areas ) < sup > 8 < / sup > [ ^ 8 : EEU sets the customer connection fee based on an estimate which an EEU technician conducts on-site . ] . Simultaneously , disposable income of potential customers in these areas will likely decrease as the grid reaches increasingly remote areas . These two factors combined are expected to present an affordability barrier and this requires further investigation to identify the capacity that potential customers will have to afford connections , as well as to identify ways to mitigate the potential impact through potential cross-subsidization of the connection fee . Given that recent and reliable data on affordability of connection costs does not exist , both EEU and the World Bank have recognized the need to conduct a connection cost affordability study to be conducted in the first year of the proposed operation . 24 . * * Despite the lack of utility data , a 2017 study on affordability * * < sup > * * 9 * * < / sup > [ ^ 9 : Willingness to Pay Completion Report ; USAID Ethiopia / Beyond-the-grid ( August 2017 ) . ] * * can provide some approximate * * * * insight . * * This survey of 150 unelectrified towns across 4 regions studied the willingness to pay ( WTP ) for electricity services by households . The results of the survey indicate wide variability in WTP within towns as well as across town . Within towns , the figure below shows a steep decline in WTP after ~ 15 percent , followed by gradual decline thereafter . Similarly , the survey also found variability across towns . The study cites that a 30 percent benchmark is typically used in tariff setting for initial market penetration . At this 30 percent mark , WTP varied across the towns from US $ 1", "n": 2, "band": "confusion", "mentions": [{"key": "fcv_pads_east_africa:006025:11:0:0", "surface": "data on affordability of connection costs", "start": 1039, "end": 1080, "luna": 0, "luna_split": false, "head_score": 0.23673446476459503, "extractor_score": null, "band": "confusion"}, {"key": "fcv_pads_east_africa:006025:11:0:1", "surface": "utility data", "start": 1291, "end": 1303, "luna": 1, "luna_split": false, "head_score": 0.3837311267852783, "extractor_score": 0.7747235298156738, "band": "confusion"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "general_prwp", "split": "train", "ctx": "0 . 1 percentage points . We perform distributional analysis within CPAT for five South Asian economies ( Bangladesh , India , Nepal , Pakistan , and Sri Lanka ) using data on household budget shares obtained from the following Household Budget Surveys ( HBSs ) : i ) 2016-2017 Household Income and Expenditure Survey ( HIES ) [ 12 See , for example : https : / / www . imf . org / en / Topics / climate-change / energy-subsidies . ] ( https : / / www . imf . org / en / Topics / climate-change / energy-subsidies ) 13 [ Detailed documentation on the CPAT methodology is available here : https : / / cpmodel . github . io / cpat_public / ] ( https : / / cpmodel . github . io / cpat_public / ) 14 Though parameterization is broadly consistent with the modeling literature , which ( to varying degrees ) incorporates these factors . See further discussion of these issues in IMF ( 2019b ) , Parry , Mylonas , and Vernon ( 2021 ) as well as Black et al . ( forthcoming ) . 10", "n": 3, "band": "keep", "mentions": [{"key": "sample:prwp:000757:12:2:0", "surface": "data on household budget shares", "start": 168, "end": 199, "luna": 1, "luna_split": false, "head_score": 0.8873961567878723, "extractor_score": 0.7881484031677246, "band": "keep"}, {"key": "sample:prwp:000757:12:2:1", "surface": "Household Budget Surveys", "start": 228, "end": 252, "luna": 1, "luna_split": false, "head_score": 0.9109666347503662, "extractor_score": 0.8610608577728271, "band": "keep"}, {"key": "sample:prwp:000757:12:2:2", "surface": "2016-2017 Household Income and Expenditure Survey", "start": 268, "end": 317, "luna": 1, "luna_split": false, "head_score": 0.8903846144676208, "extractor_score": null, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}
{"queue": "gliner", "origin": "jad_paddy_docs", "split": "train", "ctx": "Analysis of the impact of refugees from Ukraine on the economy of Poland # Glossary List of charts and tables Analysis of the impact of refugees from Ukraine on the economy of Poland * * GUS * * - G\u0142\u00f3wny Urz\u0105d Statystyczny , Polish statistical office , also known as Statistics Poland . * * LFS * * - Labour Force Survey , Eurostat labour market survey conducted by national statistical offices . * * MSNA * * - Multi-Sector Needs Assessment , a 2023 UNHCR survey of refugees from Ukraine . * * PESEL / PESEL UKR * * - Powszechny Elektroniczny System Ewidencji Ludno\u015bci , Universal Electronic System for Registration of the Population . An ID number of every Polish citizen . * * PESEL UKR * * is a version issued to Ukrainian citizens in connection with the armed conflict in the territory of that country . * * Poviat * * - a middle tier of sub-central government in Poland between voivodship ( province ) and gmina ( commune ) level . * * Pre-war Ukrainian migrants * * - persons who migrated from Ukraine , primarily for economic reasons , before the full-scale Russian invasion of Ukraine in February 2022 . * * SEIS * * - Socio-Economic Inclusion Survey , a 2024 UNHCR survey of refugees from Ukraine as a follow-up to MSNA from the year before . * * Ukrainian refugees * * - persons fleeing Ukraine after the full-scale Russian invasion in February 2022 , covered by EU ' s Temporary Protection Directive . * * ZUS * * - Zak\u0142ad Ubezpiecze\u0144 Spo\u0142ecznych , Polish social security administration , also known as Social Insurance Institution . 44 Chart 1 . Poland-Ukraine border movement balance and registered / active PESEL data \b 07 Chart 2 . Ukrainians registered for social insurance \b 07 Chart 3 . Number of Ukrainians registered in Poland for social", "n": 4, "band": "keep", "mentions": [{"key": "sample:jad_paddy_docs:000001:22:0:0", "surface": "Labour Force Survey", "start": 301, "end": 320, "luna": 0, "luna_split": false, "head_score": 0.3865293264389038, "extractor_score": 0.5328137278556824, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:22:0:1", "surface": "Eurostat labour market survey", "start": 323, "end": 352, "luna": 0, "luna_split": false, "head_score": 0.8123425841331482, "extractor_score": 0.8310543894767761, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:22:0:2", "surface": "Multi-Sector Needs Assessment", "start": 412, "end": 441, "luna": 0, "luna_split": false, "head_score": 0.5910369753837585, "extractor_score": 0.44947606325149536, "band": "keep"}, {"key": "sample:jad_paddy_docs:000001:22:0:3", "surface": "Socio-Economic Inclusion Survey", "start": 1128, "end": 1159, "luna": 1, "luna_split": false, "head_score": 0.6826246976852417, "extractor_score": 0.734490692615509, "band": "keep"}], "scored_by": "rafmacalaba/gliner-datause-catchall-singlepass"}