{"id":"W3212834593","doi":"10.1093/sf/soab125","title":"Legal Cynicism and System Avoidance: Roma Marginality in Central and Eastern Europe","year":2021,"lang":"en","type":"article","venue":"Social Forces","topic":"Romani and Gypsy Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Weatherhead Center for International Affairs, Harvard University; University of Toronto; Harvard University","keywords":"Cynicism; Disadvantage; Inequality; Face (sociological concept); Sociology; Political science; Social psychology; Criminology; Psychology; Law; Social science; Politics","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":[0.001913937,0.0001799863,0.000421333,0.001520314,0.002236592,0.00224466,0.0004638318,0.0005460847,0.002983867],"category_scores_gemma":[0.003534584,0.0001263418,0.0002324061,0.001713609,0.004109609,0.0009825559,0.003414526,0.0009889262,0.0001287477],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001693787,"about_ca_system_score_gemma":0.001050579,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02274441,"about_ca_topic_score_gemma":0.03117034,"domain_scores_codex":[0.9990054,0.0004329184,0.00003941348,0.00009321072,0.0001187346,0.0003103733],"domain_scores_gemma":[0.9973233,0.000677155,0.001274678,0.0001590188,0.0001664528,0.0003994617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001165204,0.0002102741,0.8440184,0.00006163491,0.00009388839,0.0007066639,0.1333281,0.0001322794,0.0004288417,0.006061278,0.0006815967,0.01416053],"study_design_scores_gemma":[0.000009220064,0.00005181301,0.9083431,0.00009253323,0.00002034675,0.0002236594,0.08768569,0.0001782718,0.00009599523,0.0008719573,0.002415623,0.00001171536],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980597,0.00009683197,0.00001791276,0.0002162975,0.00000155842,0.000002239532,0.000008124413,4.701469e-7,0.001596859],"genre_scores_gemma":[0.9998084,0.00003839235,0.000006580804,0.00003072358,0.000002090734,0.000001256838,0.000004915126,3.785659e-7,0.0001072599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02274441,"threshold_uncertainty_score":0.04522407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03860669979802046,"score_gpt":0.3667433619428122,"score_spread":0.3281366621447918,"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."}}