{"id":"W3173248379","doi":"10.32920/22223374","title":"Nested Regulation in Law and Development: Identifying Sites of Indigenous Resistance and Reform","year":2023,"lang":"en","type":"article","venue":"","topic":"Indigenous Peoples' Rights and Law","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Indigenous; Cognitive reframing; Scholarship; Political science; Context (archaeology); Law and economics; Law; Sociology; Geography","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":[0.01247239,0.000178439,0.0006291164,0.00226465,0.008709733,0.01126007,0.001904822,0.002757157,0.002186388],"category_scores_gemma":[0.01548355,0.0003161918,0.0003497442,0.001856886,0.09552872,0.00957288,0.01065498,0.003608974,0.0001304577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01599833,"about_ca_system_score_gemma":0.01244728,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0168047,"about_ca_topic_score_gemma":0.01602628,"domain_scores_codex":[0.9848043,0.01020902,0.0002781008,0.001400272,0.001624007,0.00168431],"domain_scores_gemma":[0.990854,0.006134011,0.0009568155,0.001070188,0.00052743,0.0004576112],"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":[0.000006529575,0.00001653148,0.0008617145,0.00003252878,0.000003156473,0.0001314504,0.1246805,0.0002173918,0.0001600711,0.8671035,0.0001842885,0.006602232],"study_design_scores_gemma":[0.00002395546,0.00008266496,0.008085873,0.0005584639,0.00003161291,0.0003056628,0.2251945,0.004176619,0.001408514,0.682438,0.07764041,0.00005387346],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6014706,0.004587671,0.0449008,0.02725441,0.0001065867,0.0001655607,0.00002041858,0.0001008819,0.321393],"genre_scores_gemma":[0.9963954,0.0002273821,0.00127383,0.0001737247,0.00001096868,0.00003180894,0.00000276985,0.000009515847,0.001874627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0168047,"threshold_uncertainty_score":0.1160766,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0372435327466611,"score_gpt":0.2963829554064721,"score_spread":0.259139422659811,"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."}}