{"id":"W3121687855","doi":"","title":"Does Class Size Matter for School Tracking Outcomes after Elementary School? Quasi-Experimental Evidence Using Administrative Panel Data from Germany","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"School Choice and Performance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Class size; Tracking (education); German; Quarter (Canadian coin); Mathematics education; Panel data; Class (philosophy); Academic achievement; Psychology; Percentage point; Mathematics; Econometrics; Computer science; Pedagogy; Statistics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024226,0.0002327389,0.0003766672,0.0001010502,0.001542666,0.001081056,0.002026227,0.0001792983,0.002413136],"category_scores_gemma":[0.002441038,0.0001907765,0.0001118638,0.00005692592,0.0006156379,0.003386239,0.0006381455,0.0005769137,0.00009761839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008302343,"about_ca_system_score_gemma":0.0008418024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00386574,"about_ca_topic_score_gemma":0.01684409,"domain_scores_codex":[0.9970163,0.0002859402,0.000518482,0.0008667503,0.0004224069,0.0008901315],"domain_scores_gemma":[0.9960452,0.001689382,0.0002474117,0.00155671,0.00009882126,0.0003624632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003181645,0.0001440343,0.9935295,0.00002186834,0.00006881196,0.00001464935,0.001241704,0.000006267055,0.0006795554,0.00001514109,0.0003313199,0.003628975],"study_design_scores_gemma":[0.001097066,0.0001185254,0.95715,0.000343677,0.00002438187,0.000001050793,0.01743364,0.001314271,0.0009822483,0.000408493,0.02057583,0.0005507491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909667,0.0001398572,0.000002710056,0.003110202,0.0005386233,0.000773292,0.0003025574,0.00002049364,0.004145583],"genre_scores_gemma":[0.9939386,0.0008779831,0.001472952,0.0007584647,0.001111062,0.0001802654,0.00002441799,0.00003451711,0.001601716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03637944,"threshold_uncertainty_score":0.9999559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2169267662619185,"score_gpt":0.468207752547647,"score_spread":0.2512809862857285,"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."}}