{"id":"W3009948428","doi":"10.1017/s1743923x19000886","title":"Implementing Inclusion: Gender Quotas, Inequality, and Backlash in Kenya","year":2020,"lang":"en","type":"article","venue":"Politics & Gender","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Kenya; Inclusion (mineral); Backlash; Oppression; Government (linguistics); Constitution; Inequality; Gender equality; Political science; Power (physics); Affirmative action; Gender inequality; Gender studies; Redress; Gender mainstreaming; Politics; Sociology; Law; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007639506,0.0001410661,0.0001817259,0.00008218843,0.0008003335,0.0001076682,0.0001986156,0.0001066584,0.0002672356],"category_scores_gemma":[0.000202763,0.0001476586,0.00005197305,0.0002411351,0.0001555954,0.0001447618,0.0009087168,0.0001802893,0.0000277785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001095304,"about_ca_system_score_gemma":0.0002423419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00345226,"about_ca_topic_score_gemma":0.0004891479,"domain_scores_codex":[0.9976491,0.0002680654,0.0003712857,0.0003401936,0.0005028941,0.0008684912],"domain_scores_gemma":[0.9991801,0.0001102307,0.0000821721,0.0001455023,0.00008856753,0.000393395],"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":[0.000003023633,0.00004962713,0.1986473,0.00008269819,0.0000286657,0.00001475419,0.2042671,0.00001287662,0.0002188831,0.5946787,0.001319502,0.0006769199],"study_design_scores_gemma":[0.002020826,0.00006153552,0.2238004,0.00002010392,0.00008500602,0.000007063684,0.1712464,0.001632367,0.0006111287,0.3578632,0.2416461,0.001005894],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8476567,0.0005559903,0.0007673632,0.01121099,0.0002795608,0.0004052273,0.00004234736,0.00009010459,0.1389918],"genre_scores_gemma":[0.9948563,0.0001000077,0.0005208128,0.003569825,0.0006478234,0.000007405912,0.0000186838,0.00001869414,0.0002604481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2403266,"threshold_uncertainty_score":0.6155599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1272810967360012,"score_gpt":0.391375779632924,"score_spread":0.2640946828969228,"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."}}