{"id":"W7044000811","doi":"","title":"Under Their Own Laws: How the Kitasoo/Xai’xais First Nation created a new marine protected area – without the federal government’s approval","year":2023,"lang":"en","type":"dissertation","venue":"DSpace@MIT (Massachusetts Institute of Technology)","topic":"Pacific and Southeast Asian Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Government (linguistics); Treaty; Constitution; Marine protected area; First nation; Indigenous rights; Politics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006778593,0.0003382862,0.0003571488,0.0009898739,0.038364,0.0170113,0.0022166,0.007010235,0.01359344],"category_scores_gemma":[0.01213787,0.0005314524,0.000562526,0.001000816,0.01571984,0.007927276,0.005822656,0.0126918,0.001395894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05350678,"about_ca_system_score_gemma":0.1025505,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8874143,"about_ca_topic_score_gemma":0.9493664,"domain_scores_codex":[0.9934575,0.001405574,0.0001279008,0.0006204775,0.001735866,0.002652734],"domain_scores_gemma":[0.9951785,0.001074404,0.0001824352,0.0001917291,0.001992004,0.00138093],"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":[0.00002511108,0.00009467988,0.008759469,0.00007838959,0.00002272005,0.001946157,0.1160469,0.0003897152,0.0005376,0.6661093,0.1758074,0.03018251],"study_design_scores_gemma":[0.00001420313,0.00002687157,0.005564225,0.0004806056,0.00003019003,0.0002445916,0.1037793,0.000438181,0.0003621539,0.02828054,0.8606921,0.0000870209],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09294463,0.002398143,0.002686276,0.2093618,0.002337954,0.0002581834,0.0002671812,0.0001121653,0.6896337],"genre_scores_gemma":[0.6437453,0.002357455,0.003480291,0.06270961,0.0002171925,0.0001351873,0.0003172277,0.0002670599,0.2867707],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1125857,"threshold_uncertainty_score":0.3882207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04106034933031757,"score_gpt":0.2608247688882301,"score_spread":0.2197644195579126,"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."}}