{"id":"W3000821740","doi":"10.14393/ll63-v35nesp2019-13","title":"Competence and performativity in English language teacher education","year":2019,"lang":"en","type":"article","venue":"Letras & letras","topic":"Education and Digital Technologies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico","keywords":"Performativity; Competence (human resources); Teacher education; Variety (cybernetics); Pedagogy; Sociology; Mathematics education; Affect (linguistics); Pre-service teacher education; Psychology; Computer science; Social psychology","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":[0.008049962,0.0003396836,0.0004113725,0.002254792,0.003712911,0.005671876,0.0004383779,0.0005504159,0.001540287],"category_scores_gemma":[0.01316908,0.0001802733,0.0002516461,0.0009804276,0.01657417,0.002628374,0.006217977,0.001121216,0.0001896671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001961104,"about_ca_system_score_gemma":0.001869789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003104365,"about_ca_topic_score_gemma":0.002302827,"domain_scores_codex":[0.9884842,0.007769959,0.0004394656,0.0006873463,0.00152656,0.001092498],"domain_scores_gemma":[0.9877326,0.008425303,0.001481681,0.0005459596,0.0008154453,0.0009989439],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008607038,0.0001259758,0.04057444,0.0001720957,0.00002795845,0.0005011372,0.8788542,0.0004084968,0.00203674,0.05749745,0.0002696461,0.01944586],"study_design_scores_gemma":[0.00001818379,0.000212502,0.1443541,0.0003096229,0.00002343373,0.0009004333,0.797776,0.0007956541,0.001825776,0.03183404,0.02186466,0.00008560633],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9323801,0.0004228208,0.002004575,0.0007383774,0.00002016194,0.00002222734,0.00001367354,0.000009366108,0.06438872],"genre_scores_gemma":[0.9991996,0.00004875275,0.0001034228,0.00001815907,0.000004154545,0.000007253821,0.000003538583,0.000002538644,0.0006125854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008049962,"threshold_uncertainty_score":0.0425728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01011108024909581,"score_gpt":0.2976051822032729,"score_spread":0.2874941019541771,"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."}}