{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.002335575,0.00005354635,0.0003212014,0.000358918,0.0001824118,0.000001691741,0.0002099274,0.00003919226,0.0000155981],"category_scores_gemma":[0.007969201,0.00003945971,0.00004080997,0.001695635,0.01230125,0.0001701554,0.0001013262,0.0000601971,1.199518e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001371835,"about_ca_system_score_gemma":0.0003298073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00653856,"about_ca_topic_score_gemma":0.00350635,"domain_scores_codex":[0.9989874,0.0001192988,0.000323992,0.0001352019,0.0002312055,0.0002028874],"domain_scores_gemma":[0.9987332,0.0007605116,0.0001882752,0.00008076357,0.0002080378,0.00002916613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001560042,0.00003356543,0.6596647,0.000007529155,0.00004144394,1.218966e-8,0.1470814,0.00002114226,0.0001132818,0.1929862,0.00001058403,0.00003857569],"study_design_scores_gemma":[0.00007627367,0.00002573188,0.6923578,0.000006766417,0.0000121004,7.922177e-9,0.2806033,0.00002924857,0.00001090393,0.02681342,0.00003724574,0.00002720153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960629,0.0002028553,0.000006538702,0.001383374,0.000102499,0.00006079032,0.00002867154,0.000001895233,0.002150473],"genre_scores_gemma":[0.9992441,0.0003385142,0.0002634918,0.0001019807,0.0000194019,0.000004354071,0.000001578033,8.032619e-7,0.0000257753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1661728,"threshold_uncertainty_score":0.9903867,"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."}}