{"id":"W2113174319","doi":"10.7202/900388ar","title":"Le processus de sélection et de recrutement dans les universités chinoises depuis 1976","year":2009,"lang":"fr","type":"article","venue":"Revue des sciences de l éducation","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00255741,0.00025125,0.0003796745,0.002012344,0.003501759,0.002239355,0.0007085868,0.0008698169,0.008129583],"category_scores_gemma":[0.005374768,0.0002258843,0.0003919254,0.003650474,0.00174977,0.0009995807,0.002255058,0.001084344,0.0007585894],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01556519,"about_ca_system_score_gemma":0.02037484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4272806,"about_ca_topic_score_gemma":0.5470016,"domain_scores_codex":[0.9978186,0.0003521534,0.0001090103,0.0001747482,0.0004353749,0.001110159],"domain_scores_gemma":[0.9966413,0.0005664297,0.000798418,0.0001291239,0.0006511603,0.001213609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007452826,0.0003494649,0.6331111,0.0003249155,0.00007016546,0.0008814525,0.1022924,0.001719031,0.004379225,0.0368278,0.004588404,0.2147108],"study_design_scores_gemma":[0.00002323964,0.0002467221,0.947933,0.0001064313,0.00002509201,0.0000941044,0.02119283,0.0004245151,0.001030904,0.001000001,0.02788408,0.00003914689],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9865327,0.001344148,0.0002910879,0.003006609,0.00002616665,0.00006691848,0.0004056279,0.00001142322,0.008315426],"genre_scores_gemma":[0.9821492,0.0009555793,0.0002452406,0.0001449335,0.0000244628,0.00006329352,0.0002088972,0.000006189774,0.01620215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4272806,"threshold_uncertainty_score":0.8495871,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3115301009024339,"score_gpt":0.4439528408000676,"score_spread":0.1324227398976338,"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."}}