{"id":"W2883693252","doi":"10.1177/2514848618789378","title":"Respecting water: Indigenous water governance, ontologies, and the politics of kinship on the ground","year":2018,"lang":"en","type":"article","venue":"Environment and Planning E Nature and Space","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":210,"is_retracted":false,"has_abstract":true,"ca_institutions":"Yukon University; University of Alberta; University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts","keywords":"Indigenous; Politics; Kinship; Corporate governance; Colonialism; Sociology; Government (linguistics); Political science; Environmental ethics; Geography; Anthropology; Law; Ecology; Business; Philosophy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004802917,0.000101002,0.0001239045,0.00001165582,0.0008683311,0.00007201113,0.0001133994,0.0001558259,0.00002867881],"category_scores_gemma":[0.00005021607,0.00004102253,0.00001781136,0.00002042687,0.0008261824,0.00007487048,0.00007188736,0.0003267799,0.000002298178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002198929,"about_ca_system_score_gemma":0.000006895994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006768281,"about_ca_topic_score_gemma":0.00009946131,"domain_scores_codex":[0.9991919,0.00009690536,0.00008661287,0.0001540313,0.0002114915,0.0002589969],"domain_scores_gemma":[0.9996197,0.00017242,0.00005421401,0.0001131913,0.000006734599,0.00003372439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004969324,0.00003480947,0.1385764,0.00004089904,0.0001302682,0.00002391831,0.6838778,0.00001205478,0.002154282,0.1623386,0.009688443,0.002625618],"study_design_scores_gemma":[0.00109578,0.0003188553,0.2243382,0.0001072102,0.00005967194,0.0000122981,0.0196908,0.00001327111,0.01582516,0.02362232,0.7145814,0.0003351099],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869146,0.001993742,0.00000314119,0.005660512,0.0001278877,0.0001350645,0.000006230579,0.000008028828,0.005150782],"genre_scores_gemma":[0.9957191,0.0008883958,0.00004192002,0.000562971,0.0003799681,0.000002130371,0.000001997876,0.000005126241,0.002398392],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7048929,"threshold_uncertainty_score":0.6678588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01148052760983573,"score_gpt":0.238480296375516,"score_spread":0.2269997687656803,"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."}}