{"id":"W1989315198","doi":"10.1080/0007131022000021461","title":"Explaining gender segregation","year":2002,"lang":"en","type":"article","venue":"British Journal of Sociology","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":172,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Statistics Canada","funders":"","keywords":"Occupational segregation; Patriarchy; Preference; Empowerment; Inequality; Demographic economics; Gender inequality; Human capital; Sociology; Gender studies; Positive economics; Psychology; Economics; Labour economics; Economic growth; Mathematics; Microeconomics","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":[0.001799073,0.0004782902,0.0004037974,0.001303031,0.002149326,0.00193158,0.000701451,0.001140255,0.009571236],"category_scores_gemma":[0.006140812,0.0001701092,0.0005171872,0.001483003,0.004052596,0.002986403,0.002669915,0.0009987516,0.0008264143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002324843,"about_ca_system_score_gemma":0.001321278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008566471,"about_ca_topic_score_gemma":0.004088703,"domain_scores_codex":[0.999086,0.0003736754,0.00002377445,0.0001262605,0.0001593131,0.0002308778],"domain_scores_gemma":[0.9985502,0.0007523638,0.0002792401,0.0001332787,0.0001882584,0.00009657819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001961488,0.00002557638,0.01684684,0.00004118514,0.000007292781,0.0003596988,0.005535862,0.001386866,0.0001165872,0.9473554,0.003109213,0.02519588],"study_design_scores_gemma":[0.00001337807,0.0000174807,0.01068645,0.00009844892,0.00001204184,0.0003647906,0.005979452,0.008813551,0.0001885467,0.9424546,0.03135949,0.00001179392],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.431291,0.007177813,0.12257,0.03264262,0.000474505,0.000165967,0.0004926135,0.0001574195,0.405028],"genre_scores_gemma":[0.9885296,0.00122904,0.003631161,0.0003766617,0.00009883927,0.00003851598,0.0001096003,0.00002008637,0.005966461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009571236,"threshold_uncertainty_score":0.03201896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05076224290548897,"score_gpt":0.2899035940690802,"score_spread":0.2391413511635913,"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."}}