{"id":"W4239626275","doi":"10.2307/2672452","title":"Picturing Power in the People’s Republic of China: Posters of the Cultural Revolution","year":2000,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":88,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Cultural revolution; China; Power (physics); People's Republic; History; Political science; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.001916516,0.0005203446,0.0001856805,0.001185612,0.009182963,0.003932394,0.0003893831,0.001193252,0.01214907],"category_scores_gemma":[0.002119659,0.0001927263,0.0002356911,0.001455153,0.00567954,0.002078333,0.00260326,0.003263326,0.0004571507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003823354,"about_ca_system_score_gemma":0.002100148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223963,"about_ca_topic_score_gemma":0.07165253,"domain_scores_codex":[0.9995865,0.0001842449,0.000007750144,0.00003747691,0.00006081687,0.000123217],"domain_scores_gemma":[0.9993613,0.0002791765,0.000039773,0.00008188081,0.00008634789,0.0001514824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004548462,0.0001273909,0.004808841,0.000472151,0.00002866636,0.001171556,0.4145547,0.0005384164,0.002503087,0.2982311,0.1580814,0.1190278],"study_design_scores_gemma":[0.00006719113,0.0001742092,0.02925719,0.0004198259,0.000047941,0.0003181471,0.171148,0.0007296273,0.0022787,0.02184061,0.7736634,0.00005516166],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3977548,0.005153974,0.001000403,0.06790807,0.004188424,0.00009313277,0.0001758323,0.0001035769,0.5236217],"genre_scores_gemma":[0.9434887,0.001335368,0.0004346059,0.001316606,0.0006332027,0.00002176934,0.00003374471,0.00005601244,0.05268008],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0223963,"threshold_uncertainty_score":0.04453188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01648643191398958,"score_gpt":0.2444488225088949,"score_spread":0.2279623905949053,"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."}}