{"id":"W4414930395","doi":"10.1177/08438714251382682","title":"Book Review: <i>Shaping the Blue Dragon: Maritime China in the Ming and Qing Dynasties</i> by Ronald C. Po PoRonald C., Shaping the Blue Dragon: Maritime China in the Ming and Qing Dynasties. Liverpool: Liverpool University Press, 2024. x + 325 pp., illustrations, maps. ISBN 978-1-8355-3743-5, £115 (hbk).","year":2025,"lang":"en","type":"article","venue":"International Journal of Maritime History","topic":"Chinese history and philosophy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"China; Maritime history; History of China; Government (linguistics); Indian ocean","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004596258,0.0004321693,0.0005318666,0.0003148743,0.001756004,0.0003472234,0.001979623,0.0002085217,0.0003792719],"category_scores_gemma":[0.0006693738,0.0003196781,0.0002924002,0.00040644,0.001562643,0.001456261,0.0004004397,0.001748773,0.000003994016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001780562,"about_ca_system_score_gemma":0.0007057496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004576725,"about_ca_topic_score_gemma":0.001737253,"domain_scores_codex":[0.9950945,0.001685296,0.0009616286,0.0004970402,0.001292663,0.0004688652],"domain_scores_gemma":[0.9969097,0.001587008,0.0007267255,0.0003460321,0.0003051448,0.0001254242],"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":[0.0006685362,0.0005497484,0.001755805,0.0006631826,0.0005719818,0.0008744717,0.07971082,0.0005646446,0.0001666764,0.03105404,0.8712617,0.01215841],"study_design_scores_gemma":[0.001241864,0.00006606024,0.007083823,0.003177722,0.0002242906,0.0003007597,0.004457146,0.00113997,0.000002968786,0.002823842,0.9790516,0.0004299167],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.01814097,0.8041663,0.0006522919,0.1006111,0.002829003,0.001626824,0.000241088,0.0000615816,0.07167092],"genre_scores_gemma":[0.8317983,0.08590888,0.0005764805,0.04194519,0.002933772,0.0000724159,0.0001468139,0.0001137397,0.03650438],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.8136573,"threshold_uncertainty_score":0.9999256,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01404232202350588,"score_gpt":0.2414000742533031,"score_spread":0.2273577522297972,"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."}}