{"id":"W4366392932","doi":"10.1177/14624745231168780","title":"Justifying leniency at a time of punitiveness: Federal clemency narratives in the United States","year":2023,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Punitive damages; Punishment (psychology); Scholarship; Political science; Criminology; Narrative; Presidential system; Criminal justice; Law; Sociology; Psychology; Politics; Social psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001264891,0.0001032938,0.0001572718,0.00009614359,0.001093767,0.00007618371,0.0002687107,0.00005521662,0.0002747465],"category_scores_gemma":[0.00006293583,0.00008189851,0.0001887738,0.002284884,0.0002656741,0.000160182,0.00008129924,0.0001327188,0.00004175074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001829025,"about_ca_system_score_gemma":0.0000857218,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008906974,"about_ca_topic_score_gemma":0.005231379,"domain_scores_codex":[0.9984432,0.0003495274,0.0002393299,0.000184735,0.000451811,0.000331398],"domain_scores_gemma":[0.9992464,0.0003424652,0.0001049431,0.0001390652,0.0001255599,0.00004154773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001186042,0.0001438424,0.00610775,0.00004390916,0.00006040001,0.000004062007,0.9847515,0.0003508608,0.0004093718,0.0006562581,0.005823302,0.001636853],"study_design_scores_gemma":[0.0001447202,0.00003667601,0.003863692,0.00003211651,0.0000610299,3.124296e-7,0.9827999,0.001173152,0.00005503882,0.0004145679,0.01131728,0.0001015307],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944735,0.00008454561,0.0000645213,0.003049952,0.00007697988,0.0001934761,0.00001213422,0.00005739313,0.001987535],"genre_scores_gemma":[0.9963996,0.001888956,0.00006320809,0.0003357872,0.00006335472,0.00005337468,0.000101672,0.0000070227,0.001086961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00549398,"threshold_uncertainty_score":0.9976928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04337048902849366,"score_gpt":0.3364990033392667,"score_spread":0.293128514310773,"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."}}