{"id":"W2144035663","doi":"10.1007/978-3-642-55352-3_8","title":"Examining Instructional Interventions: Encouraging Academic Integrity Through Active Learning Approaches","year":2014,"lang":"en","type":"book-chapter","venue":"New frontiers of educational research","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Cheating; Academic integrity; Misconduct; Honesty; Psychology; Academic dishonesty; Psychological intervention; Engineering ethics; Social psychology; Pedagogy; Medical education; Political science; Medicine; Engineering; Law","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.003026921,0.0004424215,0.0003353572,0.0006916467,0.0007733333,0.002618285,0.0016136,0.001290883,0.008570222],"category_scores_gemma":[0.009311548,0.0001415145,0.0002715603,0.0004385524,0.001849055,0.002492442,0.001864758,0.002054225,0.001061039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001097565,"about_ca_system_score_gemma":0.0029268,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004497245,"about_ca_topic_score_gemma":0.001308246,"domain_scores_codex":[0.9984822,0.0008041493,0.00005484671,0.0001362317,0.0004494152,0.00007318801],"domain_scores_gemma":[0.9917921,0.00659337,0.0005039125,0.0003374126,0.0003887368,0.0003844672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00007327929,0.001625077,0.001160641,0.001239226,0.00002312345,0.00007420505,0.008180438,0.0003282134,0.002718532,0.04782672,0.01559068,0.9211599],"study_design_scores_gemma":[0.0004579525,0.004845503,0.0254019,0.01132898,0.0004656384,0.001419148,0.02736771,0.004018423,0.04837382,0.3576415,0.5185741,0.0001053063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1701604,0.04336452,0.1081079,0.03532765,0.002055519,0.001366624,0.0001675182,0.001116254,0.6383336],"genre_scores_gemma":[0.7108873,0.03785115,0.1155446,0.006002317,0.0007217361,0.001720229,0.0001777729,0.0002089228,0.126886],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9987091,"threshold_uncertainty_score":0.02867025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3909525569478743,"score_gpt":0.4443086345706295,"score_spread":0.05335607762275518,"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."}}