{"id":"W2997253498","doi":"10.1080/10286632.2019.1709058","title":"The China Museum Boom: soft power and cultural nationalism","year":2020,"lang":"en","type":"article","venue":"International Journal of Cultural Policy","topic":"Cultural Industries and Urban Development","field":"Social Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Superstar; China; Nationalism; Soft power; Boom; Commodification; Inequality; Power (physics); Political science; Economics; Sociology; Economy; History; Art history; Law; Politics","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":[0.000568787,0.0001281906,0.0001730633,0.001575808,0.001701319,0.002070857,0.0003083866,0.0003049576,0.005368256],"category_scores_gemma":[0.0009770991,0.0001006719,0.0001852282,0.002552202,0.002353169,0.001564155,0.001851255,0.0006095269,0.0001077188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005640119,"about_ca_system_score_gemma":0.004080852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1143167,"about_ca_topic_score_gemma":0.2315339,"domain_scores_codex":[0.9996718,0.00004158906,0.00001536402,0.00004200592,0.00006233429,0.0001669334],"domain_scores_gemma":[0.9991768,0.00008893295,0.0002918993,0.00003946327,0.00009701961,0.0003057297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001271297,0.00006232423,0.8401878,0.000164658,0.00006696516,0.0008993354,0.02801389,0.0006868208,0.0006528755,0.07544716,0.007959593,0.04573151],"study_design_scores_gemma":[0.000007747412,0.00003164336,0.9624418,0.00008011097,0.00001649731,0.00007396883,0.01697852,0.0006052249,0.0001359221,0.003245095,0.01636711,0.00001640695],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775931,0.0006082653,0.0001089648,0.003787773,0.00002372286,0.000008361983,0.0001994968,0.000005930008,0.01766428],"genre_scores_gemma":[0.998635,0.0001921658,0.00002550987,0.0001349633,0.00000915585,0.000003924809,0.00005215342,0.000001255368,0.0009459732],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1143167,"threshold_uncertainty_score":0.2273026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03977110402750991,"score_gpt":0.3505968440407318,"score_spread":0.3108257400132219,"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."}}