{"id":"W3092887227","doi":"10.1177/0920203x20963010","title":"Information control by public punishment: The logic of signalling repression in China","year":2020,"lang":"en","type":"article","venue":"China Information","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Open Society Foundations","keywords":"Censorship; Punishment (psychology); Credibility; Social media; Government (linguistics); China; Business; Social control; Political science; Law; Public relations; Social psychology; Psychology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003831839,0.0001809922,0.0003139856,0.002432341,0.003247075,0.002419472,0.0007214253,0.0007875038,0.002589304],"category_scores_gemma":[0.00873191,0.0002579007,0.0002204367,0.003708509,0.006118937,0.00194558,0.002363235,0.000990606,0.0001166442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008024499,"about_ca_system_score_gemma":0.005174469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07985482,"about_ca_topic_score_gemma":0.1098254,"domain_scores_codex":[0.9971803,0.0007426116,0.0002814593,0.0004156027,0.0006689824,0.0007109483],"domain_scores_gemma":[0.9912929,0.002371724,0.003883036,0.0008848193,0.001003127,0.0005644637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001474278,0.0000811322,0.8403348,0.0001645035,0.00006565225,0.001635718,0.05683918,0.001160566,0.001340529,0.06317905,0.00531553,0.02973589],"study_design_scores_gemma":[0.00002357366,0.00007175281,0.9252543,0.0001412861,0.00007460478,0.0002470747,0.03272517,0.00645958,0.001543417,0.01486668,0.01849784,0.00009480653],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881625,0.0001923105,0.0007302185,0.001845767,0.00001055331,0.00003669156,0.0001695205,0.00001023059,0.00884214],"genre_scores_gemma":[0.9992445,0.00005177321,0.000072907,0.00008012508,0.000004478844,0.0000100421,0.00003832561,0.000001221376,0.0004965564],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07985482,"threshold_uncertainty_score":0.15878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01068944624316675,"score_gpt":0.2345712577964515,"score_spread":0.2238818115532848,"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."}}