{"id":"W4281767293","doi":"10.1111/capa.12458","title":"The Canadian Impact Assessment Act and intersectional analysis: Exaggerated tensions, fierce resistance, little understanding","year":2022,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Evaluation and Performance Assessment","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; Dalhousie University","funders":"","keywords":"Mainstreaming; Gender mainstreaming; Legislature; Intersectionality; Legislation; Invisibility; Political science; Resistance (ecology); Public administration; Inclusion (mineral); Legislative process; Resource (disambiguation); Sociology; Law; Gender studies; Gender equality","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004790889,0.0001420877,0.0001737781,0.001217533,0.004948088,0.001899947,0.0003911158,0.00006075937,0.004774637],"category_scores_gemma":[0.0007050828,0.0001074061,0.0001077637,0.002611081,0.0001112697,0.0005035976,0.00003998018,0.0003297756,0.00001467174],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004753593,"about_ca_system_score_gemma":0.0191374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.06066706,"about_ca_topic_score_gemma":0.9962968,"domain_scores_codex":[0.9969056,0.0004895105,0.0005024155,0.0004009974,0.00124628,0.0004551571],"domain_scores_gemma":[0.997517,0.0005646697,0.0002138548,0.0004319265,0.0003707522,0.0009017338],"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":[0.00006504029,0.00004714879,0.3826209,0.00000306838,0.0005978431,0.00004791134,0.0008195807,0.0006259264,0.0000144483,0.4190886,0.1914867,0.004582821],"study_design_scores_gemma":[0.0002588088,0.0001814641,0.385834,0.000003879931,0.0000763065,0.00003105779,0.009752384,0.03438966,0.000001641021,0.005640868,0.563556,0.0002738711],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4709641,0.0003851183,0.003635498,0.4048695,0.002232686,0.00137627,0.0009214958,0.00009131734,0.115524],"genre_scores_gemma":[0.9945986,0.000008915427,0.00008071024,0.0009419367,0.00005217101,0.00006507974,0.0002538943,0.000008104862,0.003990565],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9356297,"threshold_uncertainty_score":0.9991361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2190798576412272,"score_gpt":0.4574565444753476,"score_spread":0.2383766868341204,"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."}}