{"id":"W4377088537","doi":"10.1177/10659129231176211","title":"Jobs and Punishment: Public Opinion on Leniency for White-Collar Crime","year":2023,"lang":"en","type":"article","venue":"Political Research Quarterly","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"White-collar crime; Public opinion; Wrongdoing; Incentive; Legitimacy; Affect (linguistics); Punishment (psychology); Business; Retributive justice; Political science; Law; Economics; Psychology; Social psychology; Economic Justice","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.002480989,0.00008760258,0.0001249043,0.0003605407,0.0009679365,0.0004926573,0.0002825334,0.00009345032,0.0006413717],"category_scores_gemma":[0.001349414,0.00008257469,0.000101788,0.0005085469,0.0005095212,0.0002479606,0.00004433149,0.0002298605,0.0004768416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001539777,"about_ca_system_score_gemma":0.0001807092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001393736,"about_ca_topic_score_gemma":0.0003748105,"domain_scores_codex":[0.9968853,0.0004263595,0.0002083549,0.0003231992,0.0007851244,0.001371645],"domain_scores_gemma":[0.9979249,0.0009126118,0.00001724087,0.0002102537,0.0003258952,0.0006090741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000145888,0.0001070225,0.001152564,0.00003147157,0.000008535621,0.000001938398,0.002208455,1.158013e-8,0.00003618527,0.9562495,0.03014416,0.01004552],"study_design_scores_gemma":[0.0007241414,0.003663771,0.05061748,0.0001137276,0.000005635517,0.000001101169,0.02959671,0.0002681262,0.00006757104,0.2893358,0.6253351,0.0002707884],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3876378,0.0002068833,0.0009905671,0.256855,0.001303089,0.002549452,0.0003532725,0.0004860869,0.3496178],"genre_scores_gemma":[0.993628,0.00003523581,0.00003525362,0.0001582768,0.0004634662,0.0001941321,0.00002366764,0.00001461086,0.005447408],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6669137,"threshold_uncertainty_score":0.7444683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3771322186534036,"score_gpt":0.5457266805041591,"score_spread":0.1685944618507555,"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."}}