{"id":"W1981053301","doi":"10.1017/s0305741010001372","title":"Innovation and Preservation: Remaking China's National Leadership Training System","year":2011,"lang":"en","type":"article","venue":"The China Quarterly","topic":"China's Socioeconomic Reforms and Governance","field":"Social Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"China; Elite; Communism; Political science; Politics; Collective leadership; Public administration; Training system; Training (meteorology); Corporate governance; Public relations; Management; Economics; Law","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":[0.003029805,0.0001166239,0.0001675346,0.001195886,0.00303223,0.002514485,0.0005075079,0.0004716516,0.002321918],"category_scores_gemma":[0.002318499,0.00009699925,0.0001881015,0.001335479,0.002927525,0.0007666718,0.002291923,0.00060794,0.00008966291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01070084,"about_ca_system_score_gemma":0.02993207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05958658,"about_ca_topic_score_gemma":0.09343075,"domain_scores_codex":[0.9986573,0.0002672718,0.00005929812,0.0001124737,0.0002298499,0.0006736896],"domain_scores_gemma":[0.9986476,0.0001505612,0.0001686046,0.0001602499,0.0003023484,0.000570634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002093155,0.0002914605,0.2327692,0.0003379131,0.00008286376,0.001262424,0.03573992,0.007338869,0.00751348,0.4080851,0.0196178,0.2867517],"study_design_scores_gemma":[0.0001217186,0.0004686582,0.7643919,0.0001856161,0.00005817216,0.000152881,0.01025595,0.006355887,0.002450327,0.02255509,0.1929275,0.00007627315],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9481441,0.0004685337,0.001283785,0.007394899,0.000122853,0.0001305157,0.00006023356,0.00004607023,0.0423491],"genre_scores_gemma":[0.9947768,0.00009163534,0.000330602,0.0002790399,0.00002568459,0.00001935541,0.00002568694,0.000001997,0.004449152],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05958658,"threshold_uncertainty_score":0.1184795,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1408217205142911,"score_gpt":0.2897551387240588,"score_spread":0.1489334182097678,"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."}}