{"id":"W3112319432","doi":"","title":"The Impact of Transparency and Accountability Mechanisms and Bureaucratic Inertia: A Case Study of Work Safety Regulation","year":2019,"lang":"en","type":"book-chapter","venue":"Minerva Access (University of Melbourne)","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Transparency (behavior); Accountability; Bureaucracy; Work (physics); Political science; Abuse of power; Authoritarianism; China; Power (physics); Administrative law; Law and economics; State (computer science); Public administration; Public relations; Business; Law; Economics; Democracy; Engineering; Computer science; Politics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.007141809,0.0003257332,0.0004111146,0.001439252,0.01269734,0.005390161,0.001952308,0.003401145,0.003111523],"category_scores_gemma":[0.006604709,0.0002888704,0.0003382315,0.003792742,0.01261369,0.002921717,0.003575711,0.003454246,0.0002974445],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0173537,"about_ca_system_score_gemma":0.008816616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08590213,"about_ca_topic_score_gemma":0.1787996,"domain_scores_codex":[0.9931253,0.005254967,0.00008387249,0.0001810376,0.0006621004,0.0006926809],"domain_scores_gemma":[0.9940711,0.004387952,0.0005307354,0.0002688197,0.0003694668,0.0003718385],"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":[0.00008279274,0.0005461211,0.01550868,0.0001558987,0.00002530609,0.00527964,0.4588456,0.002878766,0.0005130601,0.4746523,0.01433422,0.02717751],"study_design_scores_gemma":[0.0002006608,0.0004647658,0.05621374,0.0006010101,0.0000696999,0.0008706271,0.7004629,0.009954018,0.001411623,0.06529318,0.1643476,0.0001101291],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8487989,0.0008388512,0.001760535,0.00777236,0.00005444738,0.0001283292,0.00005345068,0.00002067893,0.1405725],"genre_scores_gemma":[0.9817637,0.0005637506,0.000868177,0.0007146212,0.00002165116,0.00008085692,0.00002670852,0.00001178918,0.01594874],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08590213,"threshold_uncertainty_score":0.1708043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02821086827907032,"score_gpt":0.285192649958903,"score_spread":0.2569817816798327,"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."}}