{"id":"W2344988245","doi":"10.1017/s0147547915000332","title":"From China to the Big Top: Chinese Acrobats and the Politics of Aesthetic Labor, 1950–2010","year":2016,"lang":"en","type":"article","venue":"International Labor and Working-Class History","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"China; Politics; Labor history; Hierarchy; Commercialization; State (computer science); Political science; Labor relations; 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":[0.0002945948,0.00009894078,0.000123976,0.0000362192,0.0002582242,0.00004171488,0.0003104875,0.00006523947,0.0002066911],"category_scores_gemma":[0.00017391,0.00004552585,0.00003540144,0.00009935906,0.000588738,0.00005318893,0.00009959226,0.00009937832,0.000008026229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375963,"about_ca_system_score_gemma":0.0001338395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005378155,"about_ca_topic_score_gemma":0.004368018,"domain_scores_codex":[0.999116,0.00008046763,0.0001783732,0.0001638997,0.0003045279,0.0001566991],"domain_scores_gemma":[0.9993942,0.0001941745,0.00009451975,0.0001224798,0.0001155867,0.00007900398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002466068,0.00008981669,0.1337434,0.000005190701,0.0001500703,0.00001088242,0.09750626,0.000003317406,0.0002729993,0.2428776,0.3482943,0.1767996],"study_design_scores_gemma":[0.0003774839,0.000009325488,0.08993769,0.00004614895,0.000008020867,0.000001415212,0.000503162,0.000003623092,0.00001138583,0.002484629,0.906538,0.00007914399],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7871321,0.002135919,0.00001417199,0.199149,0.002739848,0.0001513727,0.00006099786,0.00001895717,0.008597639],"genre_scores_gemma":[0.9338852,0.0004333049,0.00003613465,0.001252702,0.0007295923,0.00001274011,0.000003199217,0.000006466836,0.0636407],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5582436,"threshold_uncertainty_score":0.8130197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0187964303472437,"score_gpt":0.2511822862193617,"score_spread":0.232385855872118,"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."}}