{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03785188,0.0003393404,0.0004691079,0.001280974,0.02109144,0.006715593,0.001298361,0.002183442,0.005068989],"category_scores_gemma":[0.03451862,0.0004747995,0.0002177005,0.001733953,0.02129221,0.006879472,0.01086465,0.00269313,0.0002284518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01197245,"about_ca_system_score_gemma":0.01432273,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01601106,"about_ca_topic_score_gemma":0.03228405,"domain_scores_codex":[0.9730622,0.0194729,0.0006067936,0.0009359462,0.002247243,0.003674931],"domain_scores_gemma":[0.9783905,0.01565389,0.002886688,0.0008991465,0.0011707,0.0009992095],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001499172,0.0001934305,0.01451753,0.0003766396,0.00001478978,0.0009854842,0.7583421,0.0002860175,0.003337025,0.1508268,0.002504959,0.06846534],"study_design_scores_gemma":[0.000047931,0.0003920868,0.02615071,0.001218491,0.00002767726,0.0002643206,0.8054461,0.000679986,0.004223628,0.03481726,0.126636,0.00009579294],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8917481,0.0009357348,0.005076273,0.01378894,0.000138366,0.0004387598,0.00004361698,0.00002158882,0.08780868],"genre_scores_gemma":[0.9965296,0.0001353421,0.0007244594,0.0004761844,0.000009709539,0.000114827,0.000006150507,0.000005586322,0.00199812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03785188,"threshold_uncertainty_score":0.2001823,"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."}}