{"id":"W1450708603","doi":"10.1177/0891243215602105","title":"Victims to Saviors","year":2015,"lang":"en","type":"article","venue":"Gender & Society","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Citizenship; Governmentality; State (computer science); Position (finance); Restructuring; Law enforcement; Corporate governance; Political science; Enforcement; Sociology; Criminology; Economic growth; Law; Business; Economics; Politics","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":[0.0008248417,0.0001201424,0.0001332386,0.00001625679,0.0004250956,0.00009931898,0.0003337381,0.0001450254,0.0002303258],"category_scores_gemma":[0.00006257609,0.0001220105,0.0001882804,0.0003355666,0.0001148014,0.0001244552,0.00009055327,0.0001446944,0.0005661247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980581,"about_ca_system_score_gemma":0.0003918563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623261,"about_ca_topic_score_gemma":0.0006183737,"domain_scores_codex":[0.9983788,0.00009827617,0.0001395481,0.0002879545,0.0005950475,0.000500339],"domain_scores_gemma":[0.9990177,0.0000249875,0.00003536541,0.0002330786,0.0001649446,0.0005239621],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003812698,0.00005190271,0.004782178,0.000004974947,0.0000335399,0.000001860357,0.7581341,0.00001294048,0.0000847984,0.005227687,0.2296035,0.002058711],"study_design_scores_gemma":[0.0002312489,0.00002415187,0.004115724,0.000001864591,0.0000148715,7.746411e-7,0.2558055,0.0000128347,0.00005105717,0.003597248,0.7359397,0.0002050408],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5652639,0.001260177,0.00266261,0.009535427,0.00291397,0.0007322012,0.00001648587,0.0005941374,0.4170211],"genre_scores_gemma":[0.9893824,0.00008258021,0.001287745,0.004079586,0.0007196874,0.00002182995,0.000003705969,0.00001568234,0.004406762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5063362,"threshold_uncertainty_score":0.7276577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1217479005716891,"score_gpt":0.3510410976397282,"score_spread":0.2292931970680392,"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."}}