{"id":"W4404544513","doi":"10.1093/pnasnexus/pgae526","title":"Language in job advertisements and the reproduction of labor force gender and racial segregation","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Names, Identity, and Discrimination Research","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University of Edmonton; University of Alberta","funders":"Economic and Social Research Council; Social Sciences and Humanities Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Reproduction; Labour economics; Psychology; Economics; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002156225,0.0001472726,0.0001361334,0.001386924,0.001495528,0.002455192,0.0002772506,0.0003163588,0.005545792],"category_scores_gemma":[0.009499249,0.000123489,0.0001427992,0.0007579514,0.002288866,0.001144806,0.001927442,0.0003684145,0.0004494069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009228926,"about_ca_system_score_gemma":0.0008374877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005923076,"about_ca_topic_score_gemma":0.01019896,"domain_scores_codex":[0.9973758,0.001722185,0.000121004,0.0001847818,0.0003752904,0.0002209106],"domain_scores_gemma":[0.9936618,0.002676588,0.002663916,0.0003531331,0.0003488662,0.0002957131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004143767,0.0001744133,0.7331622,0.0002519357,0.0000505463,0.0006665472,0.1255404,0.0001693395,0.003700909,0.03621718,0.00196886,0.09768336],"study_design_scores_gemma":[0.00002848106,0.0001781437,0.8115157,0.0004733125,0.00007088162,0.0007766141,0.1509592,0.0008306948,0.002401051,0.009147464,0.02356949,0.00004894278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812989,0.0002812732,0.0003387636,0.0006500218,0.0000182867,0.000006230151,0.00005003606,0.00000470085,0.01735171],"genre_scores_gemma":[0.9989403,0.00008336974,0.0001324856,0.00005914569,0.000009494534,0.000003254813,0.00001449996,0.000002678327,0.0007547342],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005923076,"threshold_uncertainty_score":0.01855254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747747451206699,"score_gpt":0.3669800426413815,"score_spread":0.3395025681293145,"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."}}