{"id":"W4239698838","doi":"10.32920/ryerson.14638335","title":"Do large employers treat racial minorities more fairly? A new analysis of Canadian field experiment data","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantage; Audit; Sample (material); Public relations; Political science; Business; Psychology; Demographic economics; Management; Law; Accounting; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007107322,0.0001785704,0.0004925844,0.001791456,0.0004001631,0.0006478773,0.001337992,0.0003192639,0.01279716],"category_scores_gemma":[0.0006383755,0.0001859191,0.0002912915,0.001457007,0.0001437495,0.0002635306,0.0009580743,0.0002579228,0.000006352684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002805231,"about_ca_system_score_gemma":0.004157647,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.977568,"about_ca_topic_score_gemma":0.9912318,"domain_scores_codex":[0.9971992,0.0002339306,0.0003681085,0.0006426503,0.001056342,0.0004997706],"domain_scores_gemma":[0.9978331,0.0001407955,0.0001035204,0.001071588,0.0003166102,0.0005344368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000369451,0.0004816991,0.2738284,0.0002840477,0.003176982,0.0001429101,0.2401093,0.00007751182,0.00002877264,0.042841,0.4284152,0.01057731],"study_design_scores_gemma":[0.001031332,0.00007628778,0.04331635,0.0001435516,0.003481514,3.559541e-7,0.7855907,0.0006223221,0.0006546541,0.001475126,0.1623499,0.001257947],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4401625,0.007074885,0.00124705,0.02473981,0.002063309,0.001489791,0.00385444,0.0001472993,0.5192209],"genre_scores_gemma":[0.9444785,0.001482448,0.0006697128,0.0003334726,0.0004476273,0.00003025827,0.001935955,0.0000144672,0.05060755],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5454814,"threshold_uncertainty_score":0.9881053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1443067180573933,"score_gpt":0.437079435961846,"score_spread":0.2927727179044527,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}