{"id":"W2601506079","doi":"10.1016/j.envsci.2017.03.001","title":"Negotiating Indigenous knowledge at the science-policy interface: Insights from the Xáxli’p Community Forest","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Indigenous Studies and Ecology","field":"Health Professions","cited_by":115,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Traditional knowledge; Negotiation; Politics; Context (archaeology); Political science; Sociology; Environmental ethics; Environmental resource management; Social science; Ecology; Geography; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005752024,0.0003171476,0.0004884953,0.002038124,0.04325142,0.01052975,0.002206045,0.003688005,0.003349925],"category_scores_gemma":[0.005323672,0.0003337634,0.0003121289,0.002506083,0.0324488,0.005827478,0.009579628,0.005812383,0.0002277302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02550787,"about_ca_system_score_gemma":0.03223522,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4413636,"about_ca_topic_score_gemma":0.6596145,"domain_scores_codex":[0.9953299,0.002131442,0.00005666585,0.0002614326,0.0006267123,0.001593833],"domain_scores_gemma":[0.9953166,0.003157213,0.0002444294,0.0001506874,0.0003515623,0.0007794698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000235721,0.00008700706,0.003665245,0.00007849736,0.00000594528,0.003007291,0.9197793,0.0002718936,0.0003531719,0.06261184,0.001569664,0.008546549],"study_design_scores_gemma":[0.00000660285,0.00001589929,0.003716229,0.0001858778,0.000006343295,0.0003254266,0.9400457,0.0003743619,0.0001606747,0.01407203,0.04107475,0.00001603982],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7635176,0.001497243,0.002118415,0.0194475,0.00006663558,0.000155824,0.00005227728,0.00001738623,0.2131271],"genre_scores_gemma":[0.9920675,0.0007674082,0.0008244918,0.00074429,0.00001005413,0.00004513056,0.00001933103,0.00001341575,0.005508448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9567486,"threshold_uncertainty_score":0.8775892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04936341135011844,"score_gpt":0.4019834628183102,"score_spread":0.3526200514681918,"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."}}