{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08652501,0.0007029277,0.00123441,0.008019046,0.03679905,0.03885936,0.005686036,0.006800104,0.006585153],"category_scores_gemma":[0.1235197,0.0009895477,0.0008000081,0.009976282,0.08718912,0.008967477,0.01231066,0.01293389,0.0004803526],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.2567796,"about_ca_system_score_gemma":0.379628,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9837655,"about_ca_topic_score_gemma":0.9871317,"domain_scores_codex":[0.8842535,0.03458707,0.003224847,0.005504261,0.06300018,0.009430151],"domain_scores_gemma":[0.7817686,0.1198591,0.005481971,0.009664777,0.07307294,0.01015263],"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":[0.00003584979,0.00002880315,0.003151278,0.0001530664,0.00002563357,0.000101717,0.026776,0.0007513016,0.0001917938,0.8771076,0.05201838,0.03965862],"study_design_scores_gemma":[0.00003483692,0.00003467805,0.01726194,0.002226341,0.00009389211,0.00009040096,0.082762,0.002197009,0.0009939675,0.2142174,0.6797053,0.0003821965],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04515564,0.01137852,0.01011514,0.5697102,0.001170419,0.0001466925,0.0005737597,0.0001876016,0.361562],"genre_scores_gemma":[0.9089336,0.006069394,0.01294526,0.0438228,0.0004377142,0.0002684419,0.0002444832,0.0002084474,0.02706979],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2567796,"threshold_uncertainty_score":0.8620303,"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."}}