{"id":"W2558555235","doi":"","title":"Including Indigenous languages in education: An analysis of Canadian policy documents","year":2016,"lang":"en","type":"dissertation","venue":"Summit (Simon Fraser University)","topic":"Multilingual Education and Policy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Indigenous; Political science; Library science; Mathematics education; Data science; Computer science; Public administration; Linguistics; Mathematics; Biology; Philosophy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01062358,0.0003907618,0.0004466039,0.01460217,0.02274851,0.01268266,0.002034028,0.001484841,0.00396355],"category_scores_gemma":[0.04058703,0.0004335406,0.0004085616,0.03112765,0.006544958,0.002397851,0.003195653,0.00261938,0.0002437506],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.2983865,"about_ca_system_score_gemma":0.3878236,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9943984,"about_ca_topic_score_gemma":0.9950186,"domain_scores_codex":[0.9777027,0.001567414,0.0007682123,0.0006941202,0.01394358,0.005323999],"domain_scores_gemma":[0.9515879,0.01555896,0.003249294,0.0009081474,0.02574544,0.002950238],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001570334,0.0001720212,0.0947565,0.001613127,0.0001008462,0.001508023,0.2877536,0.00286721,0.001359764,0.4186517,0.05399581,0.1370644],"study_design_scores_gemma":[0.00002073444,0.00003808545,0.2214202,0.001727822,0.0001168019,0.000137558,0.2190033,0.0008698911,0.0008150968,0.006110082,0.5495877,0.0001528163],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5142735,0.009859307,0.0009106426,0.03314239,0.0001406991,0.0006849754,0.005151519,0.0000542908,0.4357826],"genre_scores_gemma":[0.9616125,0.009559355,0.001737353,0.002932081,0.00003716507,0.0002065026,0.001676464,0.00004084607,0.02219779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7016135,"threshold_uncertainty_score":0.8137723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02763559086966645,"score_gpt":0.3802948041509779,"score_spread":0.3526592132813114,"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."}}