{"id":"W1857774984","doi":"10.3968/5899","title":"Variations of “Large Class Size” in Chinese Elementary Schools and Analysis of Policy Factors","year":2014,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class size; Yearbook; Class (philosophy); Mathematics education; China; Primary education; Distribution (mathematics); Sociology; Geography; Mathematics; Computer science","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":[0.001169768,0.0001695096,0.0002269036,0.001776293,0.001032237,0.0008268429,0.0004880467,0.0002713274,0.003141611],"category_scores_gemma":[0.003337228,0.0001341228,0.0003268696,0.002574841,0.001147353,0.0005575797,0.0007780537,0.0004820971,0.0001428053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002352277,"about_ca_system_score_gemma":0.00196333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06916136,"about_ca_topic_score_gemma":0.08881938,"domain_scores_codex":[0.9983113,0.0002798322,0.0001418004,0.0004068821,0.0004174476,0.0004426721],"domain_scores_gemma":[0.9978893,0.0003862666,0.0007383726,0.0001811231,0.0003013723,0.0005035724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002553055,0.00004625292,0.9878891,0.00002059187,0.0000424437,0.00008551374,0.001765168,0.0001757882,0.000224588,0.001806533,0.0003461897,0.007572313],"study_design_scores_gemma":[8.694431e-7,0.000009308734,0.9982078,0.000006080227,0.000006695998,0.0000119457,0.0009397064,0.0001634788,0.00003838577,0.0001759806,0.0004363831,0.000003364452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959019,0.0001920094,0.0002928972,0.0002915153,0.00001201373,0.00002062634,0.000203154,0.000006280567,0.003079696],"genre_scores_gemma":[0.9995341,0.0000384751,0.00006027268,0.00001816438,0.00000521317,0.000008248184,0.00007993602,0.000001225348,0.0002543103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06916136,"threshold_uncertainty_score":0.1375176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03919441479340279,"score_gpt":0.4484041975331025,"score_spread":0.4092097827396997,"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."}}