{"id":"W2039453573","doi":"10.1080/02607476.2011.558285","title":"Exploring the use of critical incident analysis and the professional learning conversation in an initial teacher education programme","year":2011,"lang":"en","type":"article","venue":"Journal of Education for Teaching International Research and Pedagogy","topic":"Reflective Practices in Education","field":"Social Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Leicester; McGill University","keywords":"Conversation; Reflective practice; Reflection (computer programming); Teacher education; Critical reflection; Psychology; Professional development; Conversation analysis; Pedagogy; Sign (mathematics); Student teacher; Mathematics education; Computer science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.05690849,0.00103816,0.0009189865,0.005282491,0.01079882,0.01529664,0.004423846,0.003530049,0.002645106],"category_scores_gemma":[0.1478071,0.001230593,0.0006830482,0.00282118,0.0158982,0.01055843,0.0113352,0.007050193,0.0006557782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007944372,"about_ca_system_score_gemma":0.01176407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004502011,"about_ca_topic_score_gemma":0.005739994,"domain_scores_codex":[0.8729581,0.1131304,0.001629293,0.00198459,0.006837213,0.003460282],"domain_scores_gemma":[0.778124,0.1991285,0.006520588,0.004561429,0.007990699,0.003674749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001101347,0.0002992844,0.001678994,0.0003791494,0.00001159942,0.000725441,0.9480155,0.0002081649,0.0009164707,0.005612693,0.0005203533,0.04152218],"study_design_scores_gemma":[0.000058026,0.0005143116,0.003986681,0.00152589,0.00002616766,0.001442332,0.949244,0.001869489,0.002398273,0.005715775,0.03313015,0.0000888186],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7615626,0.00207195,0.1439358,0.008588897,0.0003823951,0.003092494,0.00008795306,0.0005249003,0.07975304],"genre_scores_gemma":[0.9464895,0.001042637,0.04560153,0.0006387045,0.00006300049,0.00124135,0.00004478491,0.0001341896,0.004744311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05690849,"threshold_uncertainty_score":0.3009645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5364875539783902,"score_gpt":0.6086865242514315,"score_spread":0.07219897027304134,"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."}}