{"id":"W4288686882","doi":"10.1002/eet.2025","title":"How can a cooperative‐based organization of indigenous fisheries foster the resilience to global changes? Lessons learned by coastal communities in eastern Québec","year":2022,"lang":"en","type":"article","venue":"Environmental Policy and Governance","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Context (archaeology); Psychological resilience; Indigenous; Fishery; Resource (disambiguation); Environmental resource management; Scale (ratio); Business; Geography; Environmental planning; Ecology; Economics; Biology","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":[],"consensus_categories":[],"category_scores_codex":[0.00008651282,0.0001286748,0.0001400462,0.000009711744,0.0004272445,0.0000289132,0.0002336044,0.00001683176,0.0001568743],"category_scores_gemma":[0.00002716542,0.0001064165,0.00001407908,0.0002326234,0.000298192,0.00009309846,0.0009965173,0.00009874505,0.000004062584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004385333,"about_ca_system_score_gemma":0.00002648938,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1853871,"about_ca_topic_score_gemma":0.4723725,"domain_scores_codex":[0.9991453,0.0001125905,0.0001131542,0.0001726089,0.0002465959,0.00020973],"domain_scores_gemma":[0.9996467,0.00003956488,0.0001020051,0.0001671783,0.000001584664,0.00004301827],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004662161,0.0001313837,0.9691283,0.00001062806,0.000008178716,0.000002927233,0.01132157,0.0004842848,0.002708757,0.00006081682,0.001957816,0.01413873],"study_design_scores_gemma":[0.0005120935,0.0003751751,0.9085847,0.00001527962,0.000006713711,0.00001059411,0.01212376,0.0001466844,0.001160145,0.00003027164,0.07679265,0.0002419922],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9691638,0.0001214835,0.00002239259,0.02926537,0.00002409182,0.0002596347,0.0008802903,0.000006793148,0.0002561898],"genre_scores_gemma":[0.9954159,0.00009535342,0.000008427192,0.001475605,0.0000132851,0.00005922393,0.00002354546,0.000008347137,0.002900352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2869854,"threshold_uncertainty_score":0.8200375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573034864030483,"score_gpt":0.2218671724896755,"score_spread":0.2061368238493707,"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."}}