{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007543335,0.0003480973,0.0003960538,0.001640111,0.02237628,0.00782006,0.0009090941,0.002337305,0.001687358],"category_scores_gemma":[0.01381325,0.0004978214,0.0001894284,0.001401242,0.01522365,0.00557407,0.005107942,0.00489334,0.0001553726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01071628,"about_ca_system_score_gemma":0.006244309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05046058,"about_ca_topic_score_gemma":0.1296705,"domain_scores_codex":[0.9935103,0.004688418,0.0001902796,0.0002906561,0.0004997467,0.0008204557],"domain_scores_gemma":[0.989221,0.006943087,0.001671625,0.0003067839,0.0008472491,0.001010315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002070276,0.00001817499,0.004180278,0.00001715754,0.00000352433,0.0003134276,0.9841589,0.00003099378,0.0002068568,0.007206078,0.001535037,0.002308861],"study_design_scores_gemma":[0.00000135183,0.00001232611,0.00394301,0.00007482713,0.000003211124,0.00009731816,0.9769283,0.00009175009,0.0002176704,0.0006935247,0.01792155,0.00001520417],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9803412,0.0005631598,0.0003527577,0.008385805,0.00007952766,0.00001032912,0.00002996854,0.000008306421,0.01022891],"genre_scores_gemma":[0.9979864,0.0001965149,0.0001094078,0.000591188,0.00001392037,0.000006605026,0.00001399595,0.000008442029,0.001073514],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05046058,"threshold_uncertainty_score":0.1003338,"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."}}