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of the operations of trust that we develop below. We begin this account with our information search procedures. Information search strategies An initial literature search of peer-reviewed journal articles with no restrictions on publication date was conducted using a multiplicity of library databases. These databases s... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.684 | 0.82 | ["philosophy"] | 418 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973625 | [
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trustworthiness proved by far the more frequent. The variations across predictor variables was smaller. Thus, 40.5% of correlations looked at trustor factors, 21.7% examined trustee factors, and 37.8% addressed contextual factors that affected both the trustor and trustee together. A more detailed breakdown of the pred... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.688 | 0.68 | ["communication"] | 441 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973738 | [
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ustee expertise 32 0.8 Shared in group membership 32 0.8 Trustee transparency 26 0.7 Trustee physical appearance 25 0.6 Shared interaction frequency 22 0.6 Trustor race 16 0.4 Trustee reputation 17 0.4 Trustee gender 12 0.3 Trustee age 11 0.3 Trustee trustworthiness, other trust measure 6 0.2 Trustee trustworthiness, t... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.71 | ["management", "philosophy"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973801 | [
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8 0.2 Trustee performance, personality 4 0.1 Trustee education 4 0.1 Trustee expertise, reliability 2 0.1 Trustee reliability, reputation 4 0.1 Trustee personality traits, reputation 2 0.1 Shared communication, interaction frequency 2 0.1 Trustee race 1 0 Trustee transparency, reputation, and other 1 0 Team conflict, i... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.698 | ["communication", "management", "war_conflict", "education", "philosophy"] | 511 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973857 | [
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trust, directional trust, and the triad of proposed categories (i.e., trustee, trustor, and contextual factors). Perceptions of trustworthiness represented the largest proportion of the outcome variables and was thus examined first, with trustor factors, trustee factors, and contextual factors serving as the predictor ... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.687 | 0.82 | ["networking"] | 435 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973911 | [
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imit Trustee abilities Expertise Trustworthiness 14 0.41 * 0.01 0.07 0.10 0.37 0.46 Propensity to trust 1 0.17 — — — — — Reliability Trustworthiness 11 0.32 * 0.004 0.10 0.05 0.28 0.36 Propensity to trust 2 0.13 * 0.01 0.00 8.34 0.03 0.23 Performance Trustworthiness 7 0.28 * 0.01 0.04 0.22 0.21 0.35 Propensity to trust... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.736 | ["philosophy"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.973960 | [
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rthiness Trustworthiness 49 0.47 * 0.003 0.03 0.12 0.46 0.49 Propensity to trust 12 0.20 * 0.01 0.03 0.46 0.14 0.27 Reputation Trustworthiness 4 0.27 * 0.004 0.014 0.32 0.21 0.34 Race Trustworthiness 1 0.22 — — — — — Physical appearance Trustworthiness 8 0.11 * 0.01 0.03 0.20 0.05 0.16 Personality traits Trustworthines... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.726 | [] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974008 | [
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Gender Trustworthiness 2 −0.02 0.002 0.004 0.61 −0.10 0.05 Other trustee variables Trustworthiness 4 −0.14 * 0.01 0.02 0.30 −0.21 −0.06 Global Trustworthiness 76 0.34 * 0.004 0.07 0.06 0.33 0.36 Propensity to trust 17 0.16 * 0.01 0.02 0.46 0.12 0.21 Contextual predictors Trust category K r s g 2 s g 2 s e 2 s g 2 95% c... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.73 | ["economy"] | 511 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974063 | [
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o trust 2 0.07 0.01 0.0006 18.39 −0.08 0.21 Shared mental models Trustworthiness 33 0.42 * 0.004 0.05 0.08 0.40 0.44 Propensity to trust 4 0.23 * 0.01 0.04 0.28 0.12 0.34 Team cohesion Trustworthiness 44 0.37 * 0.01 0.04 0.22 0.34 0.40 Propensity to trust 11 −0.44 * 0.01 3.39 0.00 −0.50 −0.38 Communication Trustworthin... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.736 | ["communication", "management"] | 511 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974111 | [
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rustworthiness 15 0.28 * 0.01 0.05 0.14 0.24 0.32 Propensity to trust 4 0.07 0.01 0.02 0.41 −0.02 0.15 Performance Trustworthiness 56 0.27 * 0.01 0.04 0.27 0.24 0.30 Propensity to trust 4 0.10 0.02 0.01 1.67 −0.03 0.23 General trust 1 0.32 — — — — — Shared efficiency Trustworthiness 1 0.24 — — — — — Propensity to trust... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.736 | ["philosophy"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974166 | [
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1 0.03 0.54 0.00 0.33 Shared tenure Trustworthiness 22 0.10 * 0.011 0.014 0.75 0.06 0.14 Propensity to trust 4 0.01 0.01 0.03 0.44 −0.10 0.12 General trust 1 0.05 — — — — — Proximity Trustworthiness 3 0.10 0.01 0.02 0.52 −0.02 0.22 Team composition Trustworthiness 36 0.05 * 0.01 0.02 0.76 0.02 0.09 Propensity to trust ... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.732 | ["management", "war_conflict"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974198 | [
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0.12 −0.28 −0.21 Propensity to trust 2 −0.10 0.008 0.001 6.67 −0.23 0.02 Tasking factors Task characteristics Trustworthiness 34 0.16 * 0.01 0.04 0.18 0.13 0.19 Propensity to trust 3 0.01 0.02 0.01 1.51 −0.13 0.16 Other factors Trustworthiness 27 0.22 * 0.01 0.13 0.08 0.27 0.29 Propensity to trust 2 0.00 0.02 0.03 0.54... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.732 | [] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974225 | [
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trust 23 0.13 * 0.007 0.013 0.55 0.09 0.21 Open in a new tab * Significant beyond the p < 0.05 level. s g 2 , sampling error variance; s g 2 , observed variance. For the outcome variable of trustor propensity to trust, the same three overall categories were examined. Trustor factors showed a weak correlation with prope... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.689 | 0.712 | [] | 445 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974251 | [
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United States Find articles by James L Szalma 2 Author information Article notes Copyright and License information 1 Department of Psychology and Institute for Simulation and Training, University of Central Florida, Orlando, FL, United States 2 Department of Psychology, University of Central Florida, Orlando, FL, Unite... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 1 | 0.698 | ["education", "philosophy", "management", "economy"] | 511 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974279 | [
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er absolute levels of trust reside in local team members and proximal partners, as compared to others who are then classed as more “remote.” This is the case even though the latter engage in frequent interactions ( Aubert and Kelsey, 2003 ). These, and other shared factors (as specified in Figure 2 ) were each identifi... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.926 | 0.836 | ["management"] | 411 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974307 | [
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Front Psychol . 2023 Mar 27;14:1081086. doi: 10.3389/fpsyg.2023.1081086 How and why humans trust: A meta-analysis and elaborated model P A Hancock P A Hancock 1 Department of Psychology and Institute for Simulation and Training, University of Central Florida, Orlando, FL, United States Find articles by P A Hancock 1, *... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 1 | 0.862 | ["education", "economy"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974338 | [
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Theresa T Kessler 2 , Alexandra D Kaplan Alexandra D Kaplan 2 Department of Psychology, University of Central Florida, Orlando, FL, United States Find articles by Alexandra D Kaplan 2 , Kimberly Stowers Kimberly Stowers 3 Department of Management, University of Alabama, Tuscaloosa, AL, United States Find articles by Ki... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.895 | 0.71 | ["education", "management", "economy"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974369 | [
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ton, NV, United States Find articles by J Christopher Brill 4 , Deborah R Billings Deborah R Billings 5 Broky Consulting, LLC, Hillsboro, OR, United States Find articles by Deborah R Billings 5 , Kristin E Schaefer Kristin E Schaefer 6 DEVCOM Army Research Laboratory, Aberdeen Proving Ground, Adelphi, MD, United States... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.895 | 0.722 | ["war_conflict", "economy", "education"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974394 | [
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ht Patterson Air Force Base, Dayton, NV, United States 5 Broky Consulting, LLC, Hillsboro, OR, United States 6 DEVCOM Army Research Laboratory, Aberdeen Proving Ground, Adelphi, MD, United States Edited by: Carlos Cornejo, Pontificia Universidad Católica de Chile, Chile Reviewed by: Shane Connelly, University of Oklaho... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.295 | 0.846 | ["war_conflict", "economy", "education"] | 512 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974418 | [
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section of the journal Frontiers in Psychology Received 2022 Oct 26; Accepted 2023 Jan 26; Collection date 2023. Copyright © 2023 Hancock, Kessler, Kaplan, Stowers, Brill, Billings, Schaefer and Szalma. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The u... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.854 | ["innovation"] | 511 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974441 | [
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at the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. PMC Copyright notice PMCID: PMC10083508 PMID: 37051611 This article has been corrected. See Front Psychol. 2025 Aug 11;16:1651358... | https://pmc.ncbi.nlm.nih.gov/articles/PMC10083508/ | How and why humans trust: A meta-analysis and elaborated model - PMC | pmc.ncbi.nlm.nih.gov | public_domain | false | 0.7 | 0.854 | ["networking", "philosophy"] | 505 | Building and Maintaing Trust | topic | 2026-03-21T02:35:57.974464 | [
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End of preview. Expand in Data Studio
Building Trust Content 1
This corpus was automatically generated by the Deku Corpus Builder for use in RAG-based AI applications.
Dataset Structure
Each record contains:
text: The content textsource_url: Original source URLsource_title: Title of the source documentsource_domain: Domain of the sourcelicense_type: License classification (e.g.public_domain,cc_by,cc_by_sa)attribution_required: Boolean — True for CC BY / CC BY-SA and other attribution-required licensesattribution_text: Formatted Creative Commons attribution string (empty if not required)license_url: URL to the CC license deed (empty if not required)relevance_score: Relevance to the subject (0-1)quality_score: Content quality score (0-1)topics: JSON array of detected topicscharacter_count: Length of the textsubject_name: The subject this content relates tosubject_type: "personality" or "topic"extraction_date: When the content was extractedembedding: Pre-computed 384-dimensional embedding vector
Attribution
0 of 3,443 chunks in this corpus require attribution under their source license.
When building lessons from these chunks, the attribution_text field must be surfaced
in the lesson output per the Legend Leadership Attribution Tracking Spec.
Usage
from datasets import load_dataset
dataset = load_dataset("PhillyMac/Building_Trust_Content_1")
# Access attribution-required chunks
for item in dataset["train"]:
if item["attribution_required"]:
print(item["attribution_text"])
Integration with RAG
This dataset is designed to be integrated with existing embedded corpuses. The embeddings use the sentence-transformers/all-MiniLM-L6-v2 model, compatible with FAISS indexing.
License
Content is sourced from public domain and Creative Commons licensed materials.
See individual license_type fields for per-chunk licensing details.
Generated By
Deku Corpus Builder - An automated corpus building system for AI applications.
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