{"id":"W4280620206","doi":"10.1017/s1743923x22000149","title":"Gender Is Not a Proxy: Race and Intersectionality in Legislative Recruitment","year":2022,"lang":"en","type":"article","venue":"Politics & Gender","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"University of Toronto; Canada Research Chairs","keywords":"Intersectionality; Legislature; Proxy (statistics); Politics; Race (biology); Representation (politics); White (mutation); Political science; Gender studies; Sociology; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.005444088,0.0001177907,0.0003780127,0.001273808,0.004129471,0.003435452,0.0006954272,0.0004628144,0.005976417],"category_scores_gemma":[0.01657127,0.0001665517,0.0002212803,0.001775843,0.004715088,0.001702393,0.003176487,0.0007698323,0.000310437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002796941,"about_ca_system_score_gemma":0.003796645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1070058,"about_ca_topic_score_gemma":0.2366799,"domain_scores_codex":[0.9962419,0.002044047,0.00008769461,0.0003188235,0.0006242672,0.0006833666],"domain_scores_gemma":[0.9921789,0.002984347,0.002227334,0.0004607433,0.0009972135,0.0011514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002348146,0.00009097448,0.8862561,0.00004898138,0.00004858366,0.0001173314,0.0595712,0.0001138179,0.0005660517,0.02143383,0.001462241,0.03005616],"study_design_scores_gemma":[0.000006647972,0.00005734494,0.8976452,0.0001858175,0.00003368959,0.0001163274,0.08839504,0.0004117835,0.0003441278,0.004459471,0.008323749,0.00002089157],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767298,0.000381437,0.0006538263,0.001168716,0.00003180529,0.0000134363,0.00006088829,0.000004604933,0.02095551],"genre_scores_gemma":[0.9991772,0.00004974483,0.0001058401,0.00005295346,0.000006917457,0.000005861908,0.0000149435,0.000003597279,0.0005828915],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1070058,"threshold_uncertainty_score":0.2127659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2089197699584148,"score_gpt":0.4110593581514884,"score_spread":0.2021395881930736,"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."}}