{"id":"W3193148167","doi":"10.32920/ryerson.14654544.v1","title":"Strategies for Effective Case Method Teaching in Large Undergraduate Business Classes","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Management and Marketing Education","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Class (philosophy); Teaching method; Context (archaeology); Case teaching; Mathematics education; Computer science; Graduate students; Pedagogy; Sociology; Psychology; Geography; Artificial intelligence","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00277527,0.0004204308,0.0004943481,0.0006577786,0.0002596062,0.002123951,0.0002705998,0.000218192,0.00009616704],"category_scores_gemma":[0.0006419303,0.0004107545,0.0001644482,0.000431122,0.00001707106,0.001189614,0.001011106,0.0005291405,0.000008432321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001057833,"about_ca_system_score_gemma":0.0001208777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005220568,"about_ca_topic_score_gemma":0.0157329,"domain_scores_codex":[0.997991,0.000125626,0.0004362512,0.0007927038,0.0001957193,0.000458722],"domain_scores_gemma":[0.9984141,0.000472126,0.0003949447,0.0004189377,0.0002887633,0.00001114079],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002099225,0.001291222,0.01026954,0.02576797,0.0005039451,0.000743174,0.000893606,0.005172625,0.0001177102,0.8431869,0.05202029,0.05982307],"study_design_scores_gemma":[0.005720723,0.00002996586,0.0446257,0.003742197,0.001790845,0.00008211519,0.08833842,0.2254346,0.00003949711,0.2864138,0.3392106,0.00457153],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1772177,0.0001905062,0.5893671,0.006148827,0.004149932,0.004126532,0.00001286725,0.0005414755,0.2182451],"genre_scores_gemma":[0.9761651,0.0000169852,0.01807194,0.0009661751,0.001436823,0.0008682334,0.0006918978,0.00007517636,0.001707647],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7989475,"threshold_uncertainty_score":0.9998344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02123522938254294,"score_gpt":0.3212293185687938,"score_spread":0.2999940891862508,"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."}}