{"id":"W4392471066","doi":"10.1007/s12140-024-09424-0","title":"Multilateralism and Soft Power Made-in-China: (re)Adjusting Role Conception to Meet International Expectations","year":2024,"lang":"en","type":"article","venue":"East Asia","topic":"International Development and Aid","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Federation of University Women","funders":"Fundação para a Ciência e a Tecnologia; Universidade do Minho; Aalborg Universitet","keywords":"Multilateralism; Soft power; China; Power (physics); Political science; Hard power; International trade; Political economy; Sociology; Economics; 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":[0.004724764,0.0002670916,0.0001771528,0.0007727241,0.002697819,0.004553913,0.0007008294,0.0007767121,0.003007793],"category_scores_gemma":[0.003436299,0.0001203374,0.000236035,0.0006665057,0.0138167,0.003702421,0.00420048,0.001781915,0.0001314017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005710162,"about_ca_system_score_gemma":0.006941116,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007388627,"about_ca_topic_score_gemma":0.009734169,"domain_scores_codex":[0.9975937,0.001141028,0.00007251593,0.000230913,0.0004027774,0.0005590034],"domain_scores_gemma":[0.998517,0.0004064621,0.0001811092,0.0002080084,0.0002615546,0.0004258451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003244292,0.00003091931,0.009538589,0.00004062395,0.00001098589,0.0002393676,0.03592841,0.000606161,0.000839257,0.9367819,0.0007061748,0.01524533],"study_design_scores_gemma":[0.00007971682,0.0004163261,0.05552914,0.0004703833,0.00006927503,0.0004320367,0.1347068,0.01090008,0.003891529,0.5806009,0.2127599,0.0001440006],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7356597,0.0006162675,0.01922585,0.0102435,0.0002280512,0.0000918217,0.00002946071,0.00003287344,0.2338725],"genre_scores_gemma":[0.9959984,0.00005415809,0.000478065,0.0001246548,0.000006881392,0.00001167243,0.000004128203,0.000003262026,0.003318758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007388627,"threshold_uncertainty_score":0.04143029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304750176396337,"score_gpt":0.30475750808325,"score_spread":0.2917100063192867,"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."}}