{"id":"W2765239063","doi":"10.5465/ambpp.2017.16266abstract","title":"Ethical Decision-Making Theory: Revisiting the Moral Intensity Construct","year":2017,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Framing (construction); Construct (python library); Framing effect; Salience (neuroscience); Proposition; Social cognitive theory of morality; Ethical decision; Psychology; Social psychology; Moral disengagement; Epistemology; Sociology; Computer science; Cognitive psychology; Persuasion","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":[],"consensus_categories":[],"category_scores_codex":[0.01106205,0.0007697461,0.0005682067,0.002907168,0.002063044,0.006167916,0.001895597,0.002740542,0.003056434],"category_scores_gemma":[0.0198293,0.0004410637,0.001113389,0.001632644,0.0236473,0.008960369,0.004713193,0.006528382,0.0003856529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004044008,"about_ca_system_score_gemma":0.002155656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008738622,"about_ca_topic_score_gemma":0.000826803,"domain_scores_codex":[0.9884208,0.006887212,0.0005692596,0.0009128146,0.002569904,0.0006400689],"domain_scores_gemma":[0.9793258,0.01352779,0.002643361,0.001650847,0.001957873,0.0008943518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001427431,0.00007185572,0.002142198,0.0001320442,0.00002163091,0.0000632443,0.003829041,0.001589633,0.0002902169,0.9784455,0.0004366455,0.01296378],"study_design_scores_gemma":[0.000009959555,0.00004398488,0.002733196,0.0001366487,0.00001506758,0.00008987027,0.001490501,0.004831748,0.0003255511,0.9815969,0.008698266,0.00002812182],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1881297,0.004829451,0.479504,0.02812849,0.0005807121,0.0003520736,0.00009866482,0.00007838245,0.2982985],"genre_scores_gemma":[0.9647556,0.000937352,0.0309609,0.001100871,0.0002010545,0.0002202985,0.00003134726,0.00002573823,0.001766903],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01106205,"threshold_uncertainty_score":0.05850244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1867588319307584,"score_gpt":0.4433368261360448,"score_spread":0.2565779942052864,"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."}}