{"id":"W4386969811","doi":"10.1111/lasr.12664","title":"Discursive mismatch and globalization by stealth: The fight against corruption in the Brazilian legal field","year":2023,"lang":"en","type":"article","venue":"Law & Society Review","topic":"Judicial and Constitutional Studies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada; Danmarks Grundforskningsfond; National Research Foundation; University of Toronto; Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Globalization; Language change; Political science; Criminal law; Field (mathematics); Sociology; Law; Political economy; Law and economics","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01012781,0.0002019433,0.0004117124,0.003478849,0.004767121,0.006952146,0.000635849,0.001370082,0.002103266],"category_scores_gemma":[0.01386074,0.0001683009,0.0002213963,0.002771366,0.02436894,0.00450817,0.004311782,0.001636858,0.0001031228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006314831,"about_ca_system_score_gemma":0.007252392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01517264,"about_ca_topic_score_gemma":0.02473549,"domain_scores_codex":[0.9927446,0.005153836,0.0001717083,0.0004086839,0.001126019,0.0003951695],"domain_scores_gemma":[0.9884808,0.007326965,0.001606492,0.0007336603,0.001376286,0.000475809],"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":[0.00001486192,0.00002508902,0.005317903,0.0002953539,0.00001490861,0.0002696082,0.1097692,0.0001700625,0.0005325003,0.8573761,0.001988402,0.02422605],"study_design_scores_gemma":[0.00004362368,0.0001031686,0.0391174,0.004449176,0.00009295599,0.0005994488,0.2219703,0.001096393,0.0009604687,0.3804022,0.3511217,0.00004317758],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4584904,0.04562,0.007035937,0.06819287,0.0003125767,0.0001000282,0.0000413051,0.00002423064,0.4201826],"genre_scores_gemma":[0.9945438,0.002990558,0.0003149991,0.0007835915,0.00005460871,0.00001340215,0.00000454695,0.000004981314,0.001289504],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9952329,"threshold_uncertainty_score":0.05356163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0235163757930329,"score_gpt":0.3293493338293705,"score_spread":0.3058329580363376,"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."}}