{"id":"W2607881040","doi":"10.1177/1748895817706719","title":"Searching prison cells and prisoner bodies: Redacting carceral power and glimpsing gendered resistance in women’s prisons","year":2017,"lang":"en","type":"article","venue":"Criminology & Criminal Justice","topic":"Criminal Justice and Corrections Analysis","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Prison; Criminology; Confiscation; Agency (philosophy); Corporate governance; Resistance (ecology); Population; Principle of legality; Political science; Law; Entitlement (fair division); Imprisonment; Sociology; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001204059,0.0002959785,0.0004853841,0.0003605089,0.003886972,0.0006205513,0.0004839284,0.0002740805,0.00005064985],"category_scores_gemma":[0.001701754,0.0003229626,0.00007418982,0.0001038027,0.001299232,0.000700003,0.0003441191,0.0007146227,0.000009517043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003980096,"about_ca_system_score_gemma":0.0002330062,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01178562,"about_ca_topic_score_gemma":0.02751072,"domain_scores_codex":[0.9968808,0.0003849777,0.0004507205,0.0007838661,0.0003684578,0.001131164],"domain_scores_gemma":[0.9980026,0.000586125,0.0003454719,0.0005646192,0.0001854561,0.0003156724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005113006,0.0001610258,0.003251808,0.0006637774,0.000105476,0.0002522446,0.925046,0.00001753616,0.00335805,0.006869213,0.0001451649,0.05961839],"study_design_scores_gemma":[0.0004804494,0.0001057545,0.01654354,0.0001488176,0.001528896,0.00002162332,0.9757665,0.0001631391,0.0001801935,0.0003872234,0.004258842,0.0004150317],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883755,0.001412758,0.0003701032,0.000797455,0.0005429185,0.0002331094,0.000005256133,0.00006827555,0.008194648],"genre_scores_gemma":[0.9948332,0.001384184,0.00233579,0.0002990279,0.0002258639,0.00004259195,0.000001249538,0.00002863356,0.0008494409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05920336,"threshold_uncertainty_score":0.9999222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07075592678491884,"score_gpt":0.3521127383869969,"score_spread":0.2813568116020781,"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."}}