{"id":"W4214870346","doi":"10.1007/978-3-030-83255-1_20","title":"How to Talk About Academic Integrity so Students Will Listen:  Addressing Ethical Decision-Making Using Scenarios","year":2022,"lang":"en","type":"book-chapter","venue":"Ethics and integrity in educational contexts","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"University of Guelph","keywords":"Academic integrity; Misconduct; Situational ethics; Psychology; Engineering ethics; Curriculum; Best practice; Learning development; Institution; Medical education; Ethical decision; Higher education; Public relations; Pedagogy; Political science; Social psychology; Engineering; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.008153861,0.001217307,0.000473575,0.0008239461,0.005832886,0.0108113,0.003280846,0.005901843,0.01472371],"category_scores_gemma":[0.01516136,0.0004281733,0.00074024,0.0006008247,0.01039216,0.01096101,0.008133014,0.009016836,0.003284285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003222389,"about_ca_system_score_gemma":0.003452263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001242139,"about_ca_topic_score_gemma":0.003032809,"domain_scores_codex":[0.9896528,0.008569322,0.0001706794,0.0003060985,0.0008081817,0.0004929385],"domain_scores_gemma":[0.9842979,0.01251595,0.0005563269,0.0004824315,0.0007606676,0.001386688],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00005732417,0.0005030445,0.00225805,0.0006379353,0.00001757114,0.002908825,0.4894134,0.004916867,0.002840515,0.3469089,0.06531225,0.08422528],"study_design_scores_gemma":[0.00002817299,0.0002035903,0.0007863616,0.001389058,0.00001305634,0.001704709,0.254157,0.006403732,0.002197784,0.1284988,0.6045213,0.0000963979],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1975494,0.002868446,0.2182726,0.06735483,0.001994244,0.001352114,0.000245506,0.00114784,0.5092151],"genre_scores_gemma":[0.7837688,0.00444077,0.1058858,0.007566123,0.0003137677,0.001083898,0.0003245912,0.0003248659,0.09629136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9940982,"threshold_uncertainty_score":0.04925573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121834342075656,"score_gpt":0.4461875351949863,"score_spread":0.3243531931193303,"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."}}