{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001053304,0.0001633428,0.0002465974,0.0001677842,0.004002619,0.0001687786,0.0001137517,0.0001302382,0.00008624642],"category_scores_gemma":[0.0004165152,0.0001514395,0.00005316915,0.0006071206,0.0001066497,0.0005649718,0.000009186675,0.0001131101,0.0000422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002103356,"about_ca_system_score_gemma":0.001147908,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001263101,"about_ca_topic_score_gemma":0.2330592,"domain_scores_codex":[0.9981468,0.0005138408,0.0003653951,0.0003495595,0.0003322699,0.0002921135],"domain_scores_gemma":[0.9975528,0.0004460842,0.0002482886,0.0001960477,0.001441599,0.0001152288],"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":[0.000008055666,0.0001439767,0.007114861,0.0001859682,0.00004907398,0.000002719031,0.8971713,0.000002839559,0.00007721559,0.08690545,0.003124543,0.00521399],"study_design_scores_gemma":[0.000221537,0.00001034607,0.02427667,0.0002902803,0.00004155512,0.000001613213,0.3048853,0.0001062905,0.001097295,0.001116012,0.6677333,0.0002198345],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4840544,0.02509233,0.0005186903,0.01002553,0.001092466,0.0007347725,0.00002037686,0.0002336415,0.4782278],"genre_scores_gemma":[0.7148373,0.02781703,0.0003811294,0.00005733208,0.0007380266,0.00002424714,0.0001501489,0.00001822574,0.2559766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6646087,"threshold_uncertainty_score":0.997294,"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."}}