{"id":"W4319731056","doi":"10.1037/stl0000346","title":"Teaching cognitive dissonance theory: Practical advice for the classroom.","year":2023,"lang":"en","type":"article","venue":"Scholarship of Teaching and Learning in Psychology","topic":"Academic and Historical Perspectives in Psychology","field":"Psychology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"","keywords":"Cognitive dissonance; Self-perception theory; Empirical research; Self-justification; Psychology; Class (philosophy); Cognition; Mathematics education; Pedagogy; Social psychology; Computer science; Epistemology; 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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01272312,0.0002707331,0.0004560668,0.0003581541,0.0008984701,0.00002388025,0.0004333246,0.0005359955,0.0001045648],"category_scores_gemma":[0.01100911,0.0002197518,0.0001362162,0.000332629,0.000641703,0.0001766562,0.0001131763,0.007889568,0.00009606726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005136784,"about_ca_system_score_gemma":0.00002996793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009682623,"about_ca_topic_score_gemma":0.000007784298,"domain_scores_codex":[0.9929181,0.004738374,0.0005546004,0.0008707838,0.0002004338,0.0007176977],"domain_scores_gemma":[0.9853054,0.01382019,0.0003382974,0.0003714292,0.00006205152,0.0001025847],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.002404668,0.0004509049,0.05335698,0.00005225065,0.00030206,0.00004579838,0.03504732,0.00001970925,0.0003542614,0.4506886,0.01054768,0.4467298],"study_design_scores_gemma":[0.004851826,0.00137657,0.5115974,0.0002395308,0.0002015629,0.0002875564,0.03569668,0.000399823,0.000002180457,0.1465053,0.2981695,0.0006720767],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7232631,0.007789897,0.04708099,0.033025,0.004887753,0.001489301,0.00003413825,0.0009671355,0.1814627],"genre_scores_gemma":[0.987397,0.0001373928,0.002018171,0.001826184,0.0003750223,0.0001803563,0.00001262597,0.00006114731,0.007992103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4582404,"threshold_uncertainty_score":0.9973216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542950866069511,"score_gpt":0.4442184884040359,"score_spread":0.3887889797433408,"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."}}