{"id":"W7115170368","doi":"10.1177/17470161251406930","title":"Whose Data, Whose Ethics? Rethinking Ethical Accountability in Research Using Publicly Available Indigenous Data","year":2025,"lang":"en","type":"article","venue":"Research Ethics","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Queen's University","funders":"","keywords":"Indigenous; Sovereignty; Accountability; Research ethics; Interpretation (philosophy); Obligation; Human rights; Operationalization","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4924948,0.0008235245,0.002249434,0.003763663,0.02430554,0.04480265,0.008712534,0.01644848,0.001876031],"category_scores_gemma":[0.4466213,0.001769469,0.001614682,0.004974234,0.2041736,0.06089321,0.02642281,0.04641968,0.0007263757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02482962,"about_ca_system_score_gemma":0.1056855,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06693298,"about_ca_topic_score_gemma":0.08706295,"domain_scores_codex":[0.5013311,0.4032552,0.01767325,0.0190488,0.04902572,0.009665837],"domain_scores_gemma":[0.3218051,0.5886064,0.01128449,0.03399986,0.0378542,0.006449898],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002040016,0.00002818158,0.001070298,0.0003966786,0.00003568365,0.0002088178,0.3403992,0.0002243063,0.00028026,0.6216993,0.01113668,0.02450024],"study_design_scores_gemma":[0.00003614094,0.00003658196,0.001239417,0.004652414,0.00008022761,0.0002196664,0.1069018,0.0009878254,0.0009151684,0.7075069,0.1772559,0.0001680119],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.01624939,0.00784155,0.07017148,0.8629532,0.003883991,0.0003028971,0.00009337637,0.0001104081,0.03839378],"genre_scores_gemma":[0.6594429,0.01263646,0.1072994,0.2034368,0.00435938,0.00164602,0.0001496435,0.0006913219,0.01033817],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9835515,"threshold_uncertainty_score":0.6258442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.761292527785612,"score_gpt":0.638879658298733,"score_spread":0.1224128694868789,"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."}}