{"id":"W2979517800","doi":"10.1177/2514848619879447","title":"Multiple environmentalities and post-politicization in a Canadian Mountain Park","year":2019,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Neoliberalism (international relations); Politics; Agency (philosophy); Political science; Environmental governance; Public administration; Political economy; Corporate governance; Austerity; Sociology; Law; Economics; Social science","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":[0.003286613,0.0001273246,0.0002743309,0.00134827,0.03015198,0.007273174,0.001001481,0.001139886,0.004494781],"category_scores_gemma":[0.004724899,0.0002633907,0.0002890939,0.001988704,0.01606469,0.002014264,0.004817972,0.003611533,0.0001173761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1037016,"about_ca_system_score_gemma":0.08303563,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.971846,"about_ca_topic_score_gemma":0.9907872,"domain_scores_codex":[0.9949371,0.0006198467,0.000057067,0.0004241509,0.001261368,0.002700518],"domain_scores_gemma":[0.9957419,0.000525498,0.0005521776,0.0001353567,0.001272281,0.001772819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002757993,0.000299587,0.2333294,0.00007945399,0.00007466041,0.001728197,0.4405318,0.001437976,0.002218398,0.268356,0.01242345,0.03924536],"study_design_scores_gemma":[0.00002224214,0.00005412765,0.4743461,0.00009268318,0.00002317526,0.00014126,0.386014,0.0008326651,0.0005000298,0.007839233,0.1300117,0.0001227595],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9314075,0.0002117161,0.00036412,0.006369329,0.00004386619,0.00003910599,0.00005008491,0.00000886322,0.06150555],"genre_scores_gemma":[0.9934899,0.00009332473,0.00009281879,0.0004152973,0.00000785134,0.000008142595,0.00002318225,0.00000682679,0.005862805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1037016,"threshold_uncertainty_score":0.7524114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003317306910224026,"score_gpt":0.1927035227529232,"score_spread":0.1893862158426992,"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."}}