{"id":"W2040365483","doi":"10.1002/cjas.167","title":"Applying the lens of intersectionality to UK equal opportunities and diversity policies","year":2010,"lang":"en","type":"article","venue":"Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l Administration","topic":"Gender Politics and Representation","field":"Social Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersectionality; Agency (philosophy); Gender mainstreaming; Diversity (politics); Legislation; Sexual orientation; Race (biology); Gender studies; Sociology; Gender diversity; Political science; Public administration; Corporate governance; Law; Gender equality; Social science; Management; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02318828,0.0005930744,0.0008073701,0.00548592,0.01253556,0.02304431,0.001827218,0.004431276,0.007012825],"category_scores_gemma":[0.02104414,0.0005826864,0.0008257775,0.003248859,0.08304949,0.01665632,0.03018797,0.007615644,0.0003988352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0324164,"about_ca_system_score_gemma":0.01350523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01965957,"about_ca_topic_score_gemma":0.01544494,"domain_scores_codex":[0.9460369,0.04388033,0.0008409776,0.001681211,0.004173049,0.003387434],"domain_scores_gemma":[0.9834842,0.01078446,0.001682958,0.001299049,0.001531555,0.001217742],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000005102134,0.000003311932,0.0001627432,0.0000180116,0.000002616202,0.00003249481,0.009988456,0.0001348665,0.00001969688,0.9872215,0.0003854131,0.002025707],"study_design_scores_gemma":[0.00001559817,0.00003292607,0.001208821,0.0003545745,0.00001482716,0.0001135515,0.04429779,0.0008623823,0.0001625653,0.8424632,0.1104437,0.00002996418],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.08551136,0.00464345,0.05708631,0.09559046,0.0008481813,0.0001325721,0.00006557276,0.0000649979,0.756057],"genre_scores_gemma":[0.9884906,0.00058163,0.004604162,0.001216504,0.0001730235,0.0001181695,0.00001119608,0.00001920865,0.004785656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0324164,"threshold_uncertainty_score":0.2351986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.280062400621034,"score_gpt":0.3798710698736901,"score_spread":0.09980866925265613,"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."}}