{"id":"W2992157477","doi":"10.47678/cjhe.v36i1.183525","title":"Understanding Academic Misconduct","year":2006,"lang":"en","type":"article","venue":"Canadian Journal of Higher Education","topic":"Academic integrity and plagiarism","field":"Social Sciences","cited_by":202,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Misconduct; Academic integrity; Honour; Higher education; Academic community; Learning development; Psychology; Scientific misconduct; Institutional research; Quality (philosophy); Public relations; Academic achievement; Cheating; Political science; Sociology; Medical education; Pedagogy; Social psychology; Law; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04526416,0.0007363387,0.0008492679,0.01569467,0.02195028,0.02402434,0.004948171,0.01052456,0.004595028],"category_scores_gemma":[0.1318279,0.0006257011,0.0008044756,0.006833518,0.04780593,0.03113017,0.01334274,0.0096367,0.0008387064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03844047,"about_ca_system_score_gemma":0.04857439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.14693,"about_ca_topic_score_gemma":0.09469853,"domain_scores_codex":[0.9576391,0.01863002,0.00254497,0.002768211,0.01311099,0.005306798],"domain_scores_gemma":[0.8464963,0.09276893,0.01734934,0.006929604,0.03065557,0.005800144],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002017572,0.00006375843,0.0342195,0.0003899516,0.00003245233,0.001286489,0.2468079,0.0009892085,0.0001648699,0.6206695,0.01502354,0.08033264],"study_design_scores_gemma":[0.000008388384,0.00004141768,0.0136563,0.002068065,0.00004268981,0.001701557,0.2111689,0.001878451,0.000401271,0.5507802,0.2181751,0.00007758657],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1469767,0.03229119,0.04372363,0.324704,0.0008419642,0.0003104437,0.000246919,0.0001945227,0.4507106],"genre_scores_gemma":[0.9575756,0.01581773,0.005775543,0.009992296,0.000403172,0.0001022487,0.0001497121,0.00003825915,0.01014547],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9894754,"threshold_uncertainty_score":0.2921495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112233258088078,"score_gpt":0.3427327548328886,"score_spread":0.2315094290240808,"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."}}