{"id":"W7010445290","doi":"","title":"Igniting an Intersectional Shift in Public Policy Research (and Training): Canadian Public Policy Special Lecture","year":2022,"lang":"en","type":"other","venue":"Munich Personal RePEc Archive (Munich University)","topic":"Feminist Theory and Gender Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Intersectionality; Public policy; Government (linguistics); Policy analysis; Social policy; Inequality; Policy studies; Social inequality","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.001937859,0.0004096148,0.0004998978,0.007936629,0.004308712,0.0002779153,0.001675657,0.0003712606,0.007584667],"category_scores_gemma":[0.001439758,0.0005192352,0.0001641629,0.003239863,0.002772364,0.0003567111,0.001067692,0.002160269,0.00002279153],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002705581,"about_ca_system_score_gemma":0.01239662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.482437,"about_ca_topic_score_gemma":0.9757558,"domain_scores_codex":[0.9933277,0.002856463,0.0002360258,0.000950656,0.0009478229,0.001681332],"domain_scores_gemma":[0.9975519,0.000674775,0.0001597698,0.0004803713,0.000129823,0.001003345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001013983,0.0001530139,0.001564341,0.00003061651,0.0002329434,0.0004010225,0.2021011,6.556187e-7,0.000001220251,0.7647234,0.01732828,0.01336201],"study_design_scores_gemma":[0.0004275191,0.0001479392,0.0006022811,0.00005157373,0.00001064453,0.00001261536,0.1611459,0.000007637782,6.541616e-8,0.01254644,0.8246506,0.0003967128],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.002381462,0.0003063629,0.000006381805,0.01013345,0.0002277398,0.0004457808,0.0005807174,0.0001159298,0.9858022],"genre_scores_gemma":[0.5980551,0.00176166,0.0001604116,0.0005020467,0.006910498,0.00001639456,0.0004145265,0.0002545028,0.3919248],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8073224,"threshold_uncertainty_score":0.9999415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09564831290929035,"score_gpt":0.3271985343522309,"score_spread":0.2315502214429405,"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."}}