{"id":"W4416511836","doi":"10.4337/9781035338931.00023","title":"Pawned spaces: militarization, indebtedness and crime in the São Paulo metropolitan fringes","year":2025,"lang":"","type":"book-chapter","venue":"Edward Elgar Publishing eBooks","topic":"Crime, Illicit Activities, and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Population; Quarter (Canadian coin); Unemployment; Work (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001707122,0.0002663273,0.0001346357,0.0008323328,0.002462991,0.002053477,0.0003938757,0.0005395136,0.004434801],"category_scores_gemma":[0.0006068737,0.0002226203,0.0001677616,0.001966687,0.003036872,0.001064122,0.001946493,0.0007006433,0.0001839474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002602721,"about_ca_system_score_gemma":0.003549836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1350943,"about_ca_topic_score_gemma":0.4349775,"domain_scores_codex":[0.9998229,0.00007491969,0.000006084225,0.00001572761,0.00002242638,0.00005794128],"domain_scores_gemma":[0.9998521,0.00004548846,0.00003956277,0.000007369883,0.00001299695,0.00004253408],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00004324681,0.00006875604,0.05019887,0.0005395352,0.00003327594,0.001010896,0.2838596,0.000837664,0.0008564997,0.514323,0.0291291,0.1190996],"study_design_scores_gemma":[0.000008072639,0.00006812326,0.1855008,0.001310316,0.00003534387,0.000564707,0.3616113,0.0005827859,0.0002424223,0.03006979,0.4199784,0.00002780052],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.645603,0.07391799,0.0009872229,0.02701991,0.0003542423,0.00006402489,0.0005972035,0.00003838785,0.2514181],"genre_scores_gemma":[0.9596515,0.01505237,0.0003162176,0.0002023874,0.00006271582,0.00002643414,0.00006911964,0.000009595537,0.0246098],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1350943,"threshold_uncertainty_score":0.2686159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02778517168042193,"score_gpt":0.2686666676095398,"score_spread":0.2408814959291178,"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."}}