{"id":"W2941092134","doi":"10.3138/md.62.2.br3","title":"<i>Xing Fan. Staging Revolution: Artistry and Aesthetics in Model Beijing Opera during the Cultural Revolution</i>.","year":2019,"lang":"en","type":"article","venue":"Modern Drama","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Beijing; Opera; Cultural revolution; Aesthetics; Politics; Reading (process); History; Art; Literature; Visual arts; China; Political science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004262081,0.0006482608,0.0001902779,0.0006266966,0.003783369,0.002614625,0.0005517922,0.0006039911,0.01171839],"category_scores_gemma":[0.0004071052,0.0002085354,0.0002445304,0.0009925928,0.003419184,0.0016694,0.001471522,0.001772979,0.0008441729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002185628,"about_ca_system_score_gemma":0.0007231909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00983749,"about_ca_topic_score_gemma":0.05003529,"domain_scores_codex":[0.9998141,0.0000664018,0.000003996365,0.00002382711,0.00005513772,0.00003641779],"domain_scores_gemma":[0.9999329,0.00002005748,0.000006130449,0.000009120825,0.00000840923,0.0000234299],"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":[0.0002012427,0.00006144292,0.002814173,0.0006466122,0.00002700001,0.001733528,0.1587129,0.0007971087,0.005483014,0.2671948,0.4734495,0.08887873],"study_design_scores_gemma":[0.00001651316,0.00009921958,0.01080299,0.0002242953,0.00001966858,0.0006636719,0.05859372,0.001472173,0.001324165,0.0110699,0.9156801,0.00003359272],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1004466,0.009480098,0.004348917,0.01574974,0.003461893,0.0001502055,0.0001851387,0.000258524,0.8659189],"genre_scores_gemma":[0.5660105,0.002974329,0.002605109,0.001379871,0.0003820556,0.00008889083,0.0001165813,0.0002971271,0.4261455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01171839,"threshold_uncertainty_score":0.03920192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777648247848607,"score_gpt":0.2620609177078818,"score_spread":0.2442844352293957,"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."}}