{"id":"W3163983193","doi":"10.22329/jtl.v15i1.6333","title":"Preparing teachers for emotional labour: The missing piece in teacher education","year":2021,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Teacher Education and Leadership Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Attrition; Economic shortage; Teacher education; Competence (human resources); Emotional labor; Psychology; Context (archaeology); Pedagogy; Emotional competence; Teacher preparation; Mathematics education; Social psychology; Medicine","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":[],"consensus_categories":[],"category_scores_codex":[0.005471062,0.0000674678,0.0001293028,0.00008188545,0.001008792,0.0001586554,0.00009962936,0.00005260219,0.00002647412],"category_scores_gemma":[0.005766589,0.00005379276,0.00006704608,0.0001024514,0.00007706037,0.0002094197,0.00001609847,0.00117007,6.00415e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001304311,"about_ca_system_score_gemma":0.0005581674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003211457,"about_ca_topic_score_gemma":0.0002007727,"domain_scores_codex":[0.9978901,0.001391568,0.000243578,0.0001042822,0.0001995761,0.0001708605],"domain_scores_gemma":[0.9989352,0.0006061925,0.0002263732,0.00004907101,0.0001193307,0.0000638393],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000009668457,0.0001440469,0.1030664,0.0000191252,0.00002723587,7.036705e-7,0.5462236,0.0001587044,0.0001681681,0.003773535,0.001411032,0.3449977],"study_design_scores_gemma":[0.0002220529,0.00001845029,0.06833205,0.0001696114,0.00002014421,0.00001742666,0.5919355,0.00004966231,0.000006805369,0.0007055497,0.3384456,0.00007713898],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9041404,0.003238455,0.001057957,0.08356199,0.0005226283,0.00007963079,1.405586e-7,0.00001663895,0.007382202],"genre_scores_gemma":[0.985234,0.00005791275,0.00386897,0.0003679275,0.0008475287,0.000003290227,7.612377e-7,0.000008097437,0.009611564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3449205,"threshold_uncertainty_score":0.7758917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05910736610826801,"score_gpt":0.3945741840059042,"score_spread":0.3354668178976362,"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."}}