{"id":"W4416000031","doi":"10.5465/amproc.2025.19713symposium","title":"Racial Segregation at Work and Economic Outcomes: Causes and Consequences of Organizational Sorting","year":2025,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Gender Diversity and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Racism; Homophily; Earnings; Diversity (politics); White (mutation); Inequality; Set (abstract data type); Sorting; Scope (computer science)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679877,0.0001625623,0.0003415886,0.00139817,0.002244413,0.002653174,0.0003069238,0.0006999529,0.004143921],"category_scores_gemma":[0.006617531,0.0001431153,0.0003009031,0.0008357256,0.002471054,0.001326606,0.001858054,0.0009112153,0.0002128601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008067883,"about_ca_system_score_gemma":0.000739661,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693747,"about_ca_topic_score_gemma":0.003325899,"domain_scores_codex":[0.9987728,0.0004583098,0.00005076582,0.0001320111,0.0002454696,0.000340673],"domain_scores_gemma":[0.9970986,0.001020097,0.0007972539,0.0001981048,0.0002546717,0.000631314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001590437,0.0002875488,0.8619623,0.0001039172,0.00008833274,0.0002479625,0.006699499,0.0004126975,0.001207557,0.05558741,0.002443479,0.07080039],"study_design_scores_gemma":[0.00001115462,0.0001321583,0.938374,0.0001422197,0.00004803653,0.0001697574,0.01167124,0.0004982856,0.0004563926,0.04330998,0.005161637,0.00002503988],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672938,0.002699665,0.001436838,0.01205675,0.0001519519,0.00002546265,0.00009268721,0.000009766011,0.01623303],"genre_scores_gemma":[0.9980051,0.0008393375,0.0001893324,0.0002659461,0.0001080144,0.000008826277,0.00001867724,0.000002847824,0.0005620501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004143921,"threshold_uncertainty_score":0.01417267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05201450701668971,"score_gpt":0.304802923757081,"score_spread":0.2527884167403913,"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."}}