{"id":"W3200361992","doi":"10.5210/spir.v2021i0.12001","title":"PRIVACY, FACE, AND SOCIAL RESPECTABILITY IN A DIGITAL CHINA","year":2021,"lang":"en","type":"article","venue":"AoIR Selected Papers of Internet Research","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Personally identifiable information; Pseudonym; Internet privacy; Face (sociological concept); Hacker; Government (linguistics); Beijing; China; Payment; Social media; Digital content; Meaning (existential); Public relations; Business; Psychology; Sociology; Political science; Computer security; Computer 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":[0.0009902203,0.00009391247,0.0002330219,0.00008040994,0.0001741435,0.0001594963,0.0003216177,0.0001358769,0.0002941182],"category_scores_gemma":[0.001547538,0.00008776993,0.00005933274,0.0006058643,0.0006917986,0.000275012,0.0002482169,0.0004987791,0.00001102258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003945666,"about_ca_system_score_gemma":0.0006595618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01022983,"about_ca_topic_score_gemma":0.01602477,"domain_scores_codex":[0.9982024,0.000220425,0.0002691754,0.0003598143,0.0004685479,0.000479607],"domain_scores_gemma":[0.9991585,0.0002696282,0.00006730037,0.0001545272,0.0002695056,0.00008050942],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003991332,0.0005937485,0.5695844,0.0001554844,0.0001232785,0.00006927204,0.3267203,0.000001982144,0.005589842,0.05227298,0.005755396,0.03873416],"study_design_scores_gemma":[0.0008306713,0.0001376174,0.9364738,0.0000603791,0.000002496922,0.000004253301,0.01431941,0.00004722937,0.001759381,0.006963264,0.03917717,0.0002242834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9326904,0.0002152305,0.000001407435,0.002457926,0.00003621721,0.0001759492,0.00001505718,0.00001735835,0.06439046],"genre_scores_gemma":[0.9934688,0.0001892257,0.00002748823,0.00002009389,0.00007255421,0.00001079835,0.000008862161,0.000009571513,0.006192615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3668894,"threshold_uncertainty_score":0.9963611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02554090015367094,"score_gpt":0.3446712139591286,"score_spread":0.3191303138054577,"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."}}