{"id":"W2910880595","doi":"10.1139/cjfr-2018-0253","title":"Strategic approaches to Indigenous engagement in natural resource management: use of collaboration and conflict to expand negotiating space by three Indigenous nations in Quebec, Canada","year":2019,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Mining and Resource Management","field":"Engineering","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski; Université Laval; Université de Moncton","funders":"Social Sciences and Humanities Research Council of Canada; Université du Québec à Rimouski","keywords":"Indigenous; Vision; Negotiation; Transformative learning; Diversity (politics); Variety (cybernetics); Political science; Natural resource; Natural resource management; Resource (disambiguation); State (computer science); Sociology; Environmental resource management; Ecology; Social science; Economics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.004619588,0.0004185421,0.0003780017,0.001559772,0.03729118,0.006255824,0.001996895,0.001095101,0.003385247],"category_scores_gemma":[0.004153324,0.0002574015,0.0003025205,0.002323139,0.01071657,0.001912037,0.005500253,0.001853275,0.0001333521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.09385357,"about_ca_system_score_gemma":0.1145305,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9882096,"about_ca_topic_score_gemma":0.99738,"domain_scores_codex":[0.9969262,0.001307749,0.00006700862,0.000229899,0.0003985303,0.001070644],"domain_scores_gemma":[0.9956909,0.00147169,0.0003237898,0.0001260295,0.0008638538,0.0015237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000787626,0.0001125334,0.02602116,0.0001106187,0.00001755814,0.0008986171,0.9391378,0.0004112168,0.0007278118,0.00778851,0.001920472,0.02277504],"study_design_scores_gemma":[0.00001071112,0.00003551538,0.03042937,0.0001317575,0.000016449,0.00008534091,0.9425826,0.0006056069,0.0002042222,0.0009308154,0.02492941,0.00003819252],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658125,0.0005925166,0.0008528366,0.002534904,0.00002105266,0.0001329423,0.00006972312,0.00001510823,0.02996839],"genre_scores_gemma":[0.9945143,0.0003437511,0.0009199458,0.0002322658,0.000002587107,0.00005189138,0.00003642723,0.000007635257,0.003891078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09385357,"threshold_uncertainty_score":0.6809585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07081105629996985,"score_gpt":0.2530315812144097,"score_spread":0.1822205249144398,"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."}}