{"id":"W3007950818","doi":"10.3390/genealogy4010021","title":"Miskâsowin: Indigenous Science, Technology, and Society","year":2020,"lang":"en","type":"article","venue":"Genealogy","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":68,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Technoscience; Indigenous; Sovereignty; Sociology; Colonialism; Traditional knowledge; Politics; Environmental ethics; Sociology of scientific knowledge; Epistemology; Social science; Anthropology; Political science; Law; Ecology; 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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005734169,0.00008502221,0.0001353028,0.0001701583,0.008821204,0.00005030336,0.0003434707,0.0001887401,0.00005705068],"category_scores_gemma":[0.00001036464,0.00007625391,0.00003251027,0.001626319,0.002059951,0.0001250319,0.000005567079,0.0001536676,0.00007900369],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117729,"about_ca_system_score_gemma":0.01486538,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.008523855,"about_ca_topic_score_gemma":0.04380983,"domain_scores_codex":[0.9986061,0.00005439539,0.0001502807,0.0003314053,0.0002314516,0.0006263073],"domain_scores_gemma":[0.9993417,0.00002862799,0.00006120173,0.0001317175,0.0001421333,0.0002946037],"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":[0.000002304803,0.00002876765,0.00235126,0.0000172983,0.000007999285,0.000002143832,0.7657232,9.66965e-7,0.0001287055,0.2294021,0.0003051727,0.00203004],"study_design_scores_gemma":[0.0001252046,0.00008046589,0.001173249,0.000002528127,0.000007649532,0.000004911856,0.01650405,0.000010796,0.0004184893,0.0034457,0.978101,0.0001259805],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8984595,0.0009029391,0.0001412638,0.006219653,0.0005181368,0.0004231889,0.000005081512,0.0001666177,0.09316362],"genre_scores_gemma":[0.9878691,0.00612225,0.002155543,0.001278933,0.0008996508,0.000003847414,0.000003862425,0.00001211663,0.00165467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9777958,"threshold_uncertainty_score":0.9980785,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01625109224643052,"score_gpt":0.2947370932025621,"score_spread":0.2784860009561316,"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."}}