{"id":"W4321786636","doi":"10.1007/s10551-023-05370-8","title":"Harming by Deceit: Epistemic Malevolence and Organizational Wrongdoing","year":2023,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universität Hamburg; Rijksuniversiteit Groningen; Volkswagen Foundation","keywords":"Deception; Exploit; Business ethics; Harm; Wrongdoing; Misconduct; Empirical research; Control (management); Crowdsourcing; Business; Public relations; Epistemology; Sociology; Law and economics; Psychology; Social psychology; Political science; Economics; Law; Management; Computer science","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":[0.008689801,0.0002178741,0.0002908466,0.002140978,0.003562003,0.005082055,0.0007639989,0.002543603,0.003987257],"category_scores_gemma":[0.05256988,0.0002206994,0.0003318754,0.001320978,0.01185712,0.006719259,0.004549421,0.003348932,0.0002007768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00294534,"about_ca_system_score_gemma":0.00250138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003373749,"about_ca_topic_score_gemma":0.005420436,"domain_scores_codex":[0.9907459,0.006002784,0.00040668,0.0003807356,0.001355622,0.001108254],"domain_scores_gemma":[0.893401,0.06286388,0.03308119,0.003758606,0.004099517,0.002795741],"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":[0.0001657257,0.000618465,0.3787385,0.0002862868,0.0001121356,0.003156677,0.09001986,0.002254371,0.0004960169,0.435589,0.003952892,0.08461004],"study_design_scores_gemma":[0.0000417121,0.0002634507,0.3356865,0.001803029,0.0001245495,0.004749012,0.1567547,0.009306,0.001150552,0.465157,0.02482235,0.0001411833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.891879,0.002881136,0.006999887,0.02201474,0.00007034904,0.00003159566,0.00002488437,0.000009253192,0.07608921],"genre_scores_gemma":[0.9988845,0.000276236,0.0001663799,0.0002715099,0.00001875624,0.00000523667,0.000002829326,0.00000123517,0.0003732496],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008689801,"threshold_uncertainty_score":0.04595661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3050667018051486,"score_gpt":0.4160232446726,"score_spread":0.1109565428674514,"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."}}