{"id":"W4213270782","doi":"10.21659/rupkatha.v11n2.01","title":"Reclaiming Indigenous Identity and Cultural Diversity in Canada","year":2019,"lang":"en","type":"article","venue":"Rupkatha Journal on Interdisciplinary Studies in Humanities","topic":"Canadian Identity and History","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Indigenous; Multiculturalism; Language policy; Government (linguistics); Politics; Identity (music); Political science; Indigenous language; National identity; Nationalism; Diversity (politics); Colonialism; Political economy; Sociology; Law; Linguistics; Aesthetics","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005533565,0.0001148778,0.0002797905,0.0005378202,0.003510612,0.0002636909,0.0003012187,0.00004226263,0.0002037013],"category_scores_gemma":[0.0000599437,0.0001274792,0.00005070284,0.0001590501,0.0005474957,0.0008931867,0.0007412428,0.0004743387,0.00001368364],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008148272,"about_ca_system_score_gemma":0.0007525415,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.962468,"about_ca_topic_score_gemma":0.9998842,"domain_scores_codex":[0.9986148,0.0001619183,0.0002808566,0.0001752434,0.000410277,0.0003568606],"domain_scores_gemma":[0.9994848,0.0001457253,0.0001279377,0.00008197389,0.00008248635,0.00007707086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006123209,0.00003910856,0.1363697,0.00007756751,0.00007019386,0.0007280263,0.8498617,0.00004517555,0.000001875449,0.006629501,0.004729949,0.001386013],"study_design_scores_gemma":[0.0004509714,0.0001336725,0.123716,0.0004904781,0.00001416993,0.00003872098,0.8471348,0.000002713173,5.484872e-7,0.007742631,0.01999045,0.0002848587],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9728172,0.003929369,1.444281e-7,0.0003963433,0.002152324,0.0001336318,0.000008409901,0.000006975067,0.02055558],"genre_scores_gemma":[0.9922078,0.002984751,0.000005861027,0.0001606725,0.0001844297,0.000003105913,6.333918e-7,0.00000599902,0.00444673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0374162,"threshold_uncertainty_score":0.9977867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08624848244406133,"score_gpt":0.3364321198431127,"score_spread":0.2501836373990514,"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."}}