{"id":"W2126853472","doi":"","title":"Educational technology to train teachers of minority languages in Canada: Challenges and successes","year":2008,"lang":"en","type":"article","venue":"","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Laurentian University; Université de Montréal","funders":"","keywords":"Feeling; Economic shortage; Competence (human resources); Teacher education; Variety (cybernetics); Pedagogy; Distance education; Political science; Mathematics education; Psychology; Sociology; Government (linguistics); Computer science; Social psychology; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002892865,0.0003612218,0.0003330085,0.0007097884,0.01383369,0.004619395,0.001374803,0.0009855466,0.001981805],"category_scores_gemma":[0.007646898,0.0002804585,0.0002470385,0.001467346,0.002547859,0.001544233,0.002813918,0.001732137,0.0003258559],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03057049,"about_ca_system_score_gemma":0.1259204,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9785222,"about_ca_topic_score_gemma":0.9902813,"domain_scores_codex":[0.9972489,0.0004487947,0.00007951609,0.0002128919,0.001073483,0.00093636],"domain_scores_gemma":[0.9918883,0.001250605,0.0003229996,0.0001241693,0.002759202,0.003654649],"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":[0.0003678732,0.0007499428,0.1235065,0.001597772,0.00005583412,0.002484813,0.5246697,0.0005473975,0.009572707,0.004039495,0.01805542,0.3143525],"study_design_scores_gemma":[0.00004501367,0.0004953636,0.1651919,0.001177322,0.00008346899,0.0006018413,0.6894456,0.001086679,0.004112233,0.0003988509,0.1372241,0.0001376796],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9574195,0.004691704,0.001058902,0.01472906,0.0001533368,0.0002042999,0.0001807468,0.00008524629,0.02147737],"genre_scores_gemma":[0.9830859,0.004613494,0.00181885,0.00141999,0.00001826159,0.00007154031,0.0001169636,0.0000453086,0.008809706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9694295,"threshold_uncertainty_score":0.2218055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02298661891649963,"score_gpt":0.3250178442663065,"score_spread":0.3020312253498069,"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."}}