{"id":"W2043706472","doi":"10.5539/ies.v3n3p141","title":"Enhance Academic Study in Vocational Education in China","year":2010,"lang":"en","type":"article","venue":"International Education Studies","topic":"Higher Education and Teaching Methods","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocational education; Curriculum; Government (linguistics); Flexibility (engineering); Economic shortage; Quality (philosophy); Boom; China; Face (sociological concept); Investment (military); Mathematics education; Political science; Public relations; Sociology; Business; Pedagogy; Psychology; Management; Engineering; Economics; Social science; Politics","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":[0.002480656,0.0003004728,0.0002935816,0.00170754,0.00435753,0.002596749,0.0008447656,0.0004852569,0.01290321],"category_scores_gemma":[0.002379509,0.0002301398,0.0002684698,0.001597508,0.0007788415,0.0007932501,0.002489654,0.0004944995,0.001487278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003060278,"about_ca_system_score_gemma":0.01287966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01056237,"about_ca_topic_score_gemma":0.03039323,"domain_scores_codex":[0.9989717,0.0002880897,0.00004457663,0.00009199096,0.000164733,0.0004389987],"domain_scores_gemma":[0.9958944,0.0001898119,0.0001837914,0.0001202064,0.0003602361,0.003251535],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000417119,0.0043684,0.5737326,0.0005904391,0.0000335786,0.001274813,0.05319853,0.0004532423,0.01435117,0.006891751,0.01048647,0.3342017],"study_design_scores_gemma":[0.00009786588,0.0009073651,0.9246461,0.0001556839,0.00003390577,0.0002243899,0.02679285,0.001137426,0.002075967,0.001816272,0.04208473,0.000027396],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979783,0.0003648346,0.0002441098,0.001488838,0.00004588656,0.0000946441,0.00004038167,0.00002435474,0.017914],"genre_scores_gemma":[0.9871633,0.000282495,0.0003849931,0.0002876066,0.00004000316,0.00004483689,0.00005694039,0.000006692695,0.01173316],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01290321,"threshold_uncertainty_score":0.04316556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04676156247302952,"score_gpt":0.4956934749173858,"score_spread":0.4489319124443563,"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."}}