{"id":"W1968966184","doi":"10.1007/s10551-008-9883-0","title":"Understanding Consumers’ Ethical Justifications: A Scale for Appraising Consumers’ Reasons for Not Behaving Ethically","year":2008,"lang":"en","type":"article","venue":"Journal of Business Ethics","topic":"Ethics in Business and Education","field":"Decision Sciences","cited_by":146,"is_retracted":false,"has_abstract":false,"ca_institutions":"Larus Technologies (Canada); HEC Montréal","funders":"","keywords":"Argument (complex analysis); Business ethics; Consumption (sociology); Scale (ratio); Premise; Quality of Life Research; Government (linguistics); Positive economics; Economics; Social psychology; Marketing; Sociology; Psychology; Public relations; Business; Epistemology; Political science; Social 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":[0.01577764,0.0007011663,0.0006113336,0.00409143,0.002004055,0.003130285,0.0008764004,0.003618983,0.003510264],"category_scores_gemma":[0.06748923,0.0005657195,0.001649644,0.001568275,0.003548037,0.002652837,0.002892055,0.004747797,0.0007669093],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002609609,"about_ca_system_score_gemma":0.002401973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001303221,"about_ca_topic_score_gemma":0.003318144,"domain_scores_codex":[0.9885411,0.004526874,0.001841173,0.0002838892,0.004241502,0.0005655123],"domain_scores_gemma":[0.9152091,0.04845236,0.0130971,0.003047254,0.01635354,0.003840665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001713631,0.002750904,0.7117674,0.001227146,0.001036967,0.001422505,0.1262641,0.001060836,0.009677671,0.01267655,0.01691991,0.1134823],"study_design_scores_gemma":[0.000672002,0.001268884,0.7745588,0.001005154,0.0005974983,0.002737022,0.1544169,0.008502592,0.003890638,0.01691442,0.03493974,0.0004963999],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618228,0.0003448202,0.004194903,0.00252385,0.0001698315,0.0009987223,0.0002988947,0.00006155441,0.02958457],"genre_scores_gemma":[0.9798431,0.0002971986,0.01566157,0.0007455322,0.00006659834,0.001168286,0.0003846432,0.00002463469,0.001808543],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01577764,"threshold_uncertainty_score":0.08344108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7901900689866393,"score_gpt":0.4903157862478323,"score_spread":0.299874282738807,"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."}}