{"id":"W4214840672","doi":"10.1007/s40152-021-00255-w","title":"Neo-liberal or not? Creeping enclosures and openings in the making of fisheries governance","year":2022,"lang":"en","type":"article","venue":"MAST. Maritime studies/Maritime studies","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute","keywords":"Governmentality; Corporate governance; Commodification; Commons; Sociology; Agency (philosophy); Empowerment; Overfishing; Economics; Political science; Social science; Law; Economic growth; Economy; Fishing; Management","routes":{"ca_aff":true,"ca_fund":true,"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":[0.007457131,0.0001359795,0.0002696107,0.001228534,0.005223157,0.01042964,0.00086739,0.001516199,0.001986017],"category_scores_gemma":[0.006529938,0.000255028,0.0003321879,0.000880248,0.09584285,0.006689771,0.004521477,0.002774572,0.0001256609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01914345,"about_ca_system_score_gemma":0.00953206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05093293,"about_ca_topic_score_gemma":0.07033186,"domain_scores_codex":[0.9948979,0.00272902,0.0001315732,0.0006611813,0.0006397234,0.000940693],"domain_scores_gemma":[0.9941127,0.002878344,0.0008663955,0.0009856301,0.0006237601,0.0005332409],"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":[0.00000815843,0.000008759991,0.002083305,0.00001319579,0.000004253685,0.00007839637,0.01887184,0.0005987224,0.0002086911,0.9727712,0.0006553946,0.004698055],"study_design_scores_gemma":[0.00001173355,0.00001812312,0.01029504,0.0002321293,0.00001361647,0.0001063236,0.0521342,0.001836099,0.0006053409,0.86626,0.06845479,0.00003259329],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5529619,0.002455596,0.02992611,0.09966994,0.0001496887,0.00005810014,0.00004451188,0.00008929548,0.3146448],"genre_scores_gemma":[0.9971982,0.000141608,0.0006439865,0.0004906602,0.00001465159,0.000009684702,0.00000305,0.000007451213,0.00149069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05093293,"threshold_uncertainty_score":0.1388961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04939052879266258,"score_gpt":0.2991713778581823,"score_spread":0.2497808490655197,"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."}}