{"id":"W2029874106","doi":"10.1002/ace.45","title":"Good Teaching: One Size Fits All?","year":2002,"lang":"en","type":"article","venue":"New Directions for Adult and Continuing Education","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":175,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Key (lock); Mathematics education; Psychology; Teaching method; Computer science; Pedagogy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007529434,0.00008311293,0.00009789089,0.00007551232,0.0007762224,0.0002165644,0.00009675985,0.00007599942,0.0002627194],"category_scores_gemma":[0.006955017,0.00009345157,0.00004930551,0.0001142308,0.00004267695,0.0005695072,0.000009969369,0.0001613424,0.00002584355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007972312,"about_ca_system_score_gemma":0.00007394166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003631445,"about_ca_topic_score_gemma":0.001705067,"domain_scores_codex":[0.999029,0.0001966,0.0001694626,0.0002156858,0.000207647,0.0001815897],"domain_scores_gemma":[0.9986245,0.0007283827,0.0001532701,0.000117283,0.0002501753,0.0001264062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005615922,0.0002348372,0.00143424,0.000008160468,0.000020543,1.889481e-8,0.03683204,8.71703e-7,0.0002011672,0.03294313,0.04717259,0.8811468],"study_design_scores_gemma":[0.000342514,0.00005045477,0.005108639,0.00008404266,0.000101183,0.000001382383,0.009623648,0.0001531617,0.00005281299,0.002272052,0.9820445,0.0001655924],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5083671,0.001823977,0.001314175,0.1512177,0.004272277,0.001421876,0.000007438782,0.0007023786,0.3308731],"genre_scores_gemma":[0.8392624,0.0003493864,0.01001775,0.0006259973,0.001143995,0.0001006341,0.000007162128,0.00001481503,0.1484778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9348719,"threshold_uncertainty_score":0.8326308,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06735945230270542,"score_gpt":0.391105571972264,"score_spread":0.3237461196695586,"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."}}