{"id":"W7046592294","doi":"","title":"Designed for disruption: Lessons learned from teacher education in Myanmar and its borderlands","year":2023,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Teacher education; Government (linguistics); Work (physics); Indigenous; Function (biology); Indigenous education; State (computer science); Politics; Ethnic group","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.005522494,0.0004628258,0.0004731378,0.000685958,0.01766555,0.004913463,0.001619381,0.002036728,0.003795656],"category_scores_gemma":[0.006898544,0.0004478308,0.0002553154,0.0008240125,0.009586589,0.007310373,0.007301084,0.00418926,0.0003514988],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007388127,"about_ca_system_score_gemma":0.007562185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03898505,"about_ca_topic_score_gemma":0.1109309,"domain_scores_codex":[0.9956462,0.003076057,0.00007183964,0.0002203799,0.0001457427,0.0008398389],"domain_scores_gemma":[0.9967052,0.002168234,0.0001795863,0.0001926667,0.0002539243,0.0005004533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001479869,0.00004923618,0.001898617,0.0001232091,0.00000258276,0.0008411204,0.9811967,0.00004885251,0.0002201261,0.004880418,0.001178868,0.009545347],"study_design_scores_gemma":[0.000002845327,0.00003119075,0.001574185,0.0001858373,0.000003118475,0.0001362759,0.9751022,0.0000319116,0.0001271445,0.0007482747,0.02205168,0.000005361169],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9261811,0.003691243,0.001968659,0.03127838,0.0002358055,0.0001154464,0.00004804523,0.00003140551,0.03644982],"genre_scores_gemma":[0.9860703,0.002658494,0.001476423,0.001821617,0.00003935404,0.00009262229,0.00003152175,0.00003909335,0.007770532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03898505,"threshold_uncertainty_score":0.07751626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703468604858354,"score_gpt":0.2832272648433902,"score_spread":0.2561925787948067,"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."}}