{"id":"W4362552233","doi":"10.32920/22551652","title":"Oxymoron: Taking Business Ethics Seriously","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Denial; Business ethics; Context (archaeology); Oxymoron; Philosophy of business; Applied ethics; Information ethics; Normative ethics; Public relations; Meta-ethics; Engineering ethics; Political science; Sociology; Law; Management; Psychology; Economics; Business model; Philosophy; Engineering","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":[0.0135215,0.0006484629,0.0005013181,0.001084222,0.007326839,0.01027848,0.001395975,0.007578112,0.003809856],"category_scores_gemma":[0.01377881,0.0004192203,0.0005900909,0.0008007224,0.05476521,0.01691975,0.007707823,0.01342781,0.000633753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006715377,"about_ca_system_score_gemma":0.005787008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004654465,"about_ca_topic_score_gemma":0.003618074,"domain_scores_codex":[0.9862758,0.01022237,0.0002697638,0.0006938303,0.001749842,0.0007884179],"domain_scores_gemma":[0.9903011,0.006921978,0.0005094269,0.0007104503,0.0009290192,0.000627977],"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":[0.00000537553,0.000008268637,0.0001213725,0.0000207303,0.000001756697,0.0001007622,0.007979725,0.00006951774,0.00007541928,0.9845212,0.004142578,0.002953276],"study_design_scores_gemma":[0.000006585955,0.00000577846,0.000128449,0.00008380908,0.000002483763,0.000069198,0.00480555,0.0003090572,0.0001485393,0.9150382,0.07939639,0.000006045762],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.03738383,0.01073704,0.06868954,0.4955185,0.004374428,0.00009867726,0.00004418687,0.0001316388,0.3830222],"genre_scores_gemma":[0.8947912,0.004316942,0.01828984,0.03820265,0.001650018,0.0002221114,0.00005087239,0.0001937976,0.04228257],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0135215,"threshold_uncertainty_score":0.07150942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6936842417913198,"score_gpt":0.5241669604590902,"score_spread":0.1695172813322297,"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."}}