{"id":"W1846213560","doi":"10.14507/epaa.v17n25.2009","title":"Comprehensive School Reform: Meta-Analytic Evidence of Black-White Achievement Gap Narrowing","year":2009,"lang":"en","type":"article","venue":"Education Policy Analysis Archives","topic":"School Choice and Performance","field":"Social Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; U.S. Public Health Service","keywords":"Sanctions; White (mutation); Academic achievement; Ethnic group; Politics; Political science; Meta-analysis; Destiny (ISS module); Psychology; Demographic economics; Mathematics education; Economics; Law; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000562797,0.0001757192,0.0005501013,0.001099462,0.0004283524,0.00009466162,0.000504409,0.0000467924,0.0006090241],"category_scores_gemma":[0.0004548238,0.0001474289,0.000720844,0.002540368,0.0002752857,0.0006451558,0.00003265368,0.0001785182,0.00005533808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001757661,"about_ca_system_score_gemma":0.001104265,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007530928,"about_ca_topic_score_gemma":0.001335975,"domain_scores_codex":[0.9977646,0.0004389489,0.0005500575,0.0003323246,0.0005635687,0.0003505059],"domain_scores_gemma":[0.9984207,0.0002326996,0.0003800122,0.0005276885,0.0001697761,0.0002691576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004439694,0.002834857,0.2555396,0.0004370814,0.04425016,0.000003339795,0.3725947,0.02315212,0.01167214,0.2216445,0.01667975,0.0507478],"study_design_scores_gemma":[0.0002561121,0.0002200472,0.8838466,0.0001506641,0.01673326,7.637147e-7,0.04553942,0.0009812723,0.001023939,0.02196405,0.02857617,0.000707676],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7798351,0.003935888,0.0006994923,0.1143405,0.0001581568,0.0004980777,0.00001571484,0.00008537807,0.1004316],"genre_scores_gemma":[0.9885271,0.0008883717,0.001075905,0.002539935,0.0006864668,0.00001825927,0.00001845665,0.000005778688,0.006239784],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.628307,"threshold_uncertainty_score":0.999078,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1167023831362549,"score_gpt":0.4215197801947567,"score_spread":0.3048173970585017,"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."}}