{"id":"W4383345531","doi":"10.1177/14624745231184077","title":"Solitary confinement as state harm: Reimagining sentencing in light of dynamic censure and state blame","year":2023,"lang":"en","type":"article","venue":"Punishment & Society","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada; McGill University","keywords":"Wrongdoing; Blame; Punishment (psychology); Harm; Sentence; Context (archaeology); State (computer science); Process (computing); Criminology; Psychology; Law and economics; Sociology; Epistemology; Computer science; Law; Social psychology; Political science; Artificial intelligence; Philosophy; History; Algorithm","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009593577,0.0003473041,0.0004011029,0.001503068,0.003941751,0.007413221,0.001624386,0.002540105,0.001411946],"category_scores_gemma":[0.03377947,0.000296453,0.0004950122,0.0006729923,0.01501593,0.008460319,0.00530921,0.003336481,0.0001996528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003813052,"about_ca_system_score_gemma":0.007855399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004207649,"about_ca_topic_score_gemma":0.007552179,"domain_scores_codex":[0.9849815,0.01155811,0.0004799301,0.0005179198,0.001993944,0.0004686664],"domain_scores_gemma":[0.9819974,0.01143446,0.002803484,0.001458082,0.001962828,0.0003438065],"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":[0.00006363486,0.00004987746,0.002887865,0.0005580146,0.00003151101,0.001341668,0.1376241,0.001198753,0.001759453,0.7745402,0.001351511,0.07859343],"study_design_scores_gemma":[0.00003719841,0.0005585107,0.02524422,0.003270006,0.0002829465,0.00519651,0.1543956,0.01103573,0.01233762,0.5984996,0.1887174,0.000424757],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5166798,0.01867266,0.2175962,0.02973808,0.001070887,0.0003878131,0.00007078126,0.0003308838,0.2154529],"genre_scores_gemma":[0.9896019,0.00165143,0.005534744,0.000427451,0.00008509222,0.00006201019,0.000009077783,0.00002954065,0.002598796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009593577,"threshold_uncertainty_score":0.05073631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01461050561521853,"score_gpt":0.3113783849956332,"score_spread":0.2967678793804147,"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."}}