{"id":"W4415383566","doi":"10.1111/anti.70082","title":"Before the Conservation Fix: Ecological Displacement and the Making of Nature as Regulatory Subject","year":2025,"lang":"en","type":"article","venue":"Antipode","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; University of Maryland, Baltimore County; National Science Foundation","keywords":"Corporate governance; Overexploitation; Environmental governance; State (computer science); Resource (disambiguation); Intervention (counseling); Displacement (psychology)","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.006487762,0.0001270435,0.0002651997,0.001073814,0.01044524,0.01170824,0.001077445,0.003743684,0.005396461],"category_scores_gemma":[0.009376831,0.0002867595,0.0001782045,0.001445741,0.07237707,0.005756938,0.006901661,0.005485468,0.0001677324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01736582,"about_ca_system_score_gemma":0.01613438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1466551,"about_ca_topic_score_gemma":0.2504671,"domain_scores_codex":[0.9952521,0.001858892,0.00009413694,0.000631261,0.001013451,0.001150217],"domain_scores_gemma":[0.9947838,0.002793234,0.0006103705,0.0007484591,0.0006531863,0.000410902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001090016,0.00001090474,0.001834735,0.00001216191,0.000004036636,0.00009117374,0.01539937,0.000467146,0.0002841911,0.9757591,0.001499905,0.004626283],"study_design_scores_gemma":[0.00002122818,0.0000325445,0.0153622,0.0002923231,0.00002827634,0.00009593753,0.07048921,0.001742832,0.001205935,0.7427421,0.167916,0.00007135015],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.421934,0.001202489,0.01288296,0.09198944,0.0001540433,0.00004517037,0.00004527379,0.00005398009,0.4716925],"genre_scores_gemma":[0.9946544,0.00009075399,0.0002905942,0.001208223,0.00001028877,0.000009243595,0.000003909731,0.000006289892,0.003726242],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9895548,"threshold_uncertainty_score":0.2916029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005177439925055358,"score_gpt":0.284736967219049,"score_spread":0.2795595272939936,"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."}}