{"id":"W4296731973","doi":"10.31235/osf.io/kj8er","title":"Can Bureaucrats Break Trust? Testing Cultural and Institutional Theories of Trust with Chinese Panel Data","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Social Capital and Networks","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of British Columbia","funders":"","keywords":"Perspective (graphical); Social trust; Language change; Public trust; Blind trust; Politics; World Values Survey; Formative assessment; Panel data; Express trust; Social psychology; Political science; Public relations; Sociology; Psychology; Social capital; Economics; Social science; Law","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":[0.0005865449,0.0002190373,0.0003350303,0.00003878897,0.0009964013,0.0001406252,0.0007242899,0.0001763161,0.0003635969],"category_scores_gemma":[0.0004696624,0.0001492025,0.00004081272,0.000353515,0.001286229,0.0002237121,0.001508487,0.0004851991,5.99574e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000838673,"about_ca_system_score_gemma":0.0007516179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04700135,"about_ca_topic_score_gemma":0.0163284,"domain_scores_codex":[0.9983288,0.0001542531,0.0002314235,0.0004728034,0.0005542428,0.0002584621],"domain_scores_gemma":[0.998954,0.0002426793,0.0001965732,0.0003357377,0.0001576038,0.0001133793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002371781,0.0002240695,0.3452785,0.0002671563,0.0003797559,0.0000573145,0.1353694,0.001036092,0.00003384639,0.4870105,0.002309181,0.02779699],"study_design_scores_gemma":[0.001728291,0.0003729782,0.4146203,0.0004659221,0.0004560073,0.00005348606,0.2629464,0.002968366,0.00001044713,0.296976,0.01683441,0.002567491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8723904,0.0008646258,0.00002226747,0.001038731,0.0005544631,0.0003625137,0.0004968659,0.0001044186,0.1241657],"genre_scores_gemma":[0.9960828,0.0002641793,0.0007920697,0.00008813048,0.0007653944,0.00002977216,0.0005233473,0.00001103915,0.001443229],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1900346,"threshold_uncertainty_score":0.9593447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09941576597385933,"score_gpt":0.3442290844777456,"score_spread":0.2448133185038863,"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."}}