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Browse files- bias_heatmap_gender_education.png +0 -0
- hiring_audit_results.csv +0 -0
- kpis.json +7 -0
- risk_distribution_by_gender.png +0 -0
- score_distribution_by_gender.png +0 -0
- sentiment_vs_risk_label.png +0 -0
- subgroup_score_analysis.csv +16 -0
bias_heatmap_gender_education.png
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hiring_audit_results.csv
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kpis.json
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{
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"total_candidates": 14378,
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"flagged_candidates": 1326,
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"flag_rate_pct": 9.2,
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"mean_hiring_score": 51.31,
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"bias_flagged": 302
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}
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risk_distribution_by_gender.png
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score_distribution_by_gender.png
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sentiment_vs_risk_label.png
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subgroup_score_analysis.csv
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gender,education_level,hiring_score
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Female,Graduate,45.78163001293661
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Female,High School,32.57014925373134
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Female,Masters,49.42869822485208
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Female,Phd,61.39574468085106
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Female,Primary School,28.65
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Male,Graduate,51.380685587910065
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Male,High School,44.77706093189964
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Male,Masters,55.534361233480176
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Male,Phd,65.34107142857142
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Male,Primary School,43.388669950738915
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Other,Graduate,50.425000000000004
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Other,High School,41.093939393939394
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Other,Masters,52.94074074074074
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Other,Phd,65.76666666666667
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Other,Primary School,39.28333333333333
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