{"id":"W4207042293","doi":"10.1177/14687968211063911","title":"Learning and unlearning: Settler engagements in long-term Indigenous–settler alliances in Canada","year":2022,"lang":"en","type":"article","venue":"Ethnicities","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Indigenous; Alliance; Sovereignty; Sociology; Indigenous rights; Colonialism; Negotiation; Solidarity; Decolonization; Context (archaeology); Gender studies; Political science; Law; Human rights; Politics; Social science; Geography","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":[0.001374164,0.0001100104,0.000170338,0.0001596624,0.004449256,0.00003947055,0.0001954244,0.00004700607,0.0008049662],"category_scores_gemma":[0.00001494935,0.0001124106,0.00001645526,0.0003371153,0.0001351151,0.0001459679,0.000009793659,0.0006943889,0.000005296784],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329555,"about_ca_system_score_gemma":0.01456462,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9908638,"about_ca_topic_score_gemma":0.999792,"domain_scores_codex":[0.9974122,0.001064965,0.0002569977,0.0002365644,0.0004557736,0.0005734726],"domain_scores_gemma":[0.9994556,0.0002440962,0.0001085909,0.00007767475,0.00003051778,0.00008351973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000006816264,0.00002512623,0.4151224,0.00002908183,0.000005234556,0.00002041596,0.5825909,0.0002569504,5.610681e-7,0.001048128,0.00005563623,0.0008387807],"study_design_scores_gemma":[0.0002836302,0.00005998135,0.443617,0.00004032053,0.000004314184,0.000001717426,0.2549371,0.000009228927,0.00001069235,0.0002992915,0.3004936,0.0002430742],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9784716,0.001537986,9.632465e-7,0.0004449087,0.0005984797,0.0003533409,0.000006535352,0.00002248075,0.01856375],"genre_scores_gemma":[0.9703381,0.004685498,0.00001585309,0.0001242287,0.000121675,0.0000194765,0.00002344955,0.00001418309,0.02465754],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3276537,"threshold_uncertainty_score":0.9968468,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01940670403102373,"score_gpt":0.3013324157294489,"score_spread":0.2819257116984251,"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."}}