{"id":"W3176462252","doi":"10.18357/kula.137","title":"Dah Dzāhge Nodesidē/We Are Speaking Our Language Again","year":2021,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Indigenous Health, Education, and Rights","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Indigenous language; Land reclamation; Grammar; Language revitalization; First language; Documentation; Language industry; Fluency; Multilingualism; Language planning; Indigenous; Sociology; Computer science; Linguistics; Pedagogy; Psychology; Comprehension approach; Language education; Mathematics education; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005518481,0.0004646431,0.000278101,0.000400541,0.00430078,0.00220136,0.0004282468,0.0006287783,0.01992187],"category_scores_gemma":[0.0006855782,0.0002702098,0.0002342354,0.0003779788,0.00189446,0.001472243,0.002147617,0.001692921,0.003522903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848434,"about_ca_system_score_gemma":0.00365696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01465011,"about_ca_topic_score_gemma":0.04035101,"domain_scores_codex":[0.9997067,0.00006193423,0.00001660385,0.00004495347,0.00006566598,0.0001042229],"domain_scores_gemma":[0.999783,0.00002630355,0.00003258595,0.00002384532,0.00006650158,0.00006786243],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006937523,0.0005438064,0.1027967,0.002060341,0.0001053639,0.009244502,0.2572241,0.0005014932,0.05267124,0.117406,0.07424413,0.3825088],"study_design_scores_gemma":[0.00003970617,0.0001858073,0.04653298,0.0005017366,0.00005046132,0.00428676,0.2353245,0.0002909637,0.008652155,0.003522838,0.7005253,0.00008673172],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7953882,0.00275456,0.003453022,0.01405098,0.001583319,0.0002498486,0.0004558519,0.0002465881,0.1818177],"genre_scores_gemma":[0.8424791,0.001957672,0.006987616,0.00289412,0.00007134958,0.0002477697,0.0004777276,0.0001175554,0.1447671],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01992187,"threshold_uncertainty_score":0.06664526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05586405050983652,"score_gpt":0.4223107707826126,"score_spread":0.3664467202727761,"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."}}