{"id":"W1485761871","doi":"10.1111/j.1467-2979.2010.00376.x","title":"Institutional adaptation as a governability problem in fisheries: patron–client relations in the Junagadh fishery, India","year":2010,"lang":"en","type":"article","venue":"Fish and Fisheries","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Corporate governance; Adaptation (eye); Adaptability; Psychological resilience; Resilience (materials science); Fisheries management; Perspective (graphical); Business; Fisheries law; Order (exchange); Fishery; Political science; Environmental resource management; Economics; Biology; Management; Psychology; Computer science; Social psychology; Fishing; Finance","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":[0.004183182,0.0001064177,0.000233141,0.001111197,0.00682689,0.004029637,0.001118088,0.001055091,0.004172198],"category_scores_gemma":[0.01252133,0.0002165416,0.0002632765,0.00227668,0.01297066,0.002793871,0.005740533,0.001398075,0.0001001314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008394088,"about_ca_system_score_gemma":0.004379604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05464451,"about_ca_topic_score_gemma":0.04952725,"domain_scores_codex":[0.9957806,0.002248737,0.0002204832,0.000394286,0.0003468837,0.001009103],"domain_scores_gemma":[0.9841779,0.01003047,0.002629939,0.001181699,0.0008063598,0.001173585],"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":[0.0001740133,0.0002369711,0.3819664,0.0001456548,0.000073249,0.004425897,0.1530955,0.005102911,0.0009379672,0.4225088,0.002003265,0.02932935],"study_design_scores_gemma":[0.00004868429,0.0001008347,0.3305416,0.0001643291,0.0000816179,0.001723923,0.4512759,0.0145022,0.0007573515,0.1873129,0.01339681,0.00009382138],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9797868,0.00007895912,0.002272347,0.002995479,0.000005171102,0.00002827496,0.00001615103,0.000008519968,0.01480846],"genre_scores_gemma":[0.9996895,0.00001230836,0.00008421946,0.00002640738,0.000001186215,0.000005992578,0.00000194728,4.281601e-7,0.0001780403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05464451,"threshold_uncertainty_score":0.1086529,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009513099866089902,"score_gpt":0.1875272300746833,"score_spread":0.1780141302085934,"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."}}