{"id":"W3081797534","doi":"10.5509/2020933543","title":"Filial Nationalism in Global Competition","year":2020,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Global Education and Multiculturalism","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mandarin Chinese; Pride; China; Nationalism; Political science; Government (linguistics); Competition (biology); Loyalty; Assertiveness; Population; Gender studies; Sociology; Psychology; Politics; Linguistics; Social psychology; Demography; 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":[0.001146277,0.0001949131,0.0001865736,0.0007650797,0.007178954,0.005052792,0.0004540607,0.0009650747,0.009070972],"category_scores_gemma":[0.001028803,0.00007174804,0.0001362372,0.0009381889,0.009862393,0.002687088,0.004518855,0.001781813,0.0003032355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005688614,"about_ca_system_score_gemma":0.003358452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01435879,"about_ca_topic_score_gemma":0.02904182,"domain_scores_codex":[0.9989736,0.0002486851,0.00001604777,0.0001298833,0.0001223004,0.0005094942],"domain_scores_gemma":[0.9994627,0.00008055637,0.00007127702,0.00004213361,0.00006700827,0.000276394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002803811,0.0000580741,0.008850865,0.00004273858,0.00000641378,0.0004290111,0.04991967,0.0001276521,0.0002206506,0.9092454,0.005051642,0.02601982],"study_design_scores_gemma":[0.00005201003,0.0001713074,0.07249734,0.0004267539,0.00001862409,0.0004976229,0.1377072,0.0007540287,0.0006826706,0.2169611,0.5701648,0.00006653566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4466119,0.001453242,0.0003730945,0.009143397,0.0001140429,0.00001094132,0.00002424476,0.00001611752,0.5422531],"genre_scores_gemma":[0.9887747,0.0002520745,0.00007115873,0.0006448634,0.00002291627,0.000005998087,0.000009187822,0.000005425801,0.0102138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01435879,"threshold_uncertainty_score":0.04127395,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593145460039243,"score_gpt":0.3085413218374076,"score_spread":0.2826098672370152,"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."}}