{"id":"W2982263220","doi":"10.5539/jel.v8n6p1","title":"Common Core and the Continued Socioeconomic Achievement Gap: How Can We Better Prepare Future Teachers?","year":2019,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"School Choice and Performance","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Socioeconomic status; Poverty; Student achievement; Curriculum; Standardized test; Mathematics education; Academic achievement; Psychology; Common core; Core curriculum; Pedagogy; Core (optical fiber); Political science; Sociology; Demography; 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":[],"consensus_categories":[],"category_scores_codex":[0.0008803418,0.0000478545,0.0001118457,0.00003251957,0.0003362861,0.0001397213,0.00007849263,0.00004240116,0.0001457391],"category_scores_gemma":[0.00004558331,0.00003228936,0.00003262876,0.0000282422,0.00007355569,0.0001937974,0.00001020876,0.0003419822,0.000003653415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004317562,"about_ca_system_score_gemma":0.0001289517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001148935,"about_ca_topic_score_gemma":0.0004429281,"domain_scores_codex":[0.9994558,0.0001853924,0.0001146381,0.0000572002,0.00009902746,0.00008792488],"domain_scores_gemma":[0.9994657,0.0001141745,0.000263487,0.00004351358,0.00005421218,0.00005891009],"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":[0.00003534852,0.00001753266,0.7782242,0.00001045369,0.00002527664,1.165093e-7,0.1496876,0.000006193408,0.00004791041,0.0003888899,0.009303096,0.06225339],"study_design_scores_gemma":[0.0006338143,0.00004984878,0.1759856,0.00004609284,0.00002201877,0.000005447012,0.2211291,0.00001743167,0.000004480866,0.0002349492,0.6018094,0.00006179981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9100704,0.001242996,6.473066e-7,0.08656072,0.0005127485,0.00007573769,2.02581e-7,0.000003062188,0.001533535],"genre_scores_gemma":[0.9906404,0.0008813341,0.00004229811,0.001139651,0.001376611,0.000001740734,9.890409e-7,0.000003514835,0.005913468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6022386,"threshold_uncertainty_score":0.2586474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01715860261227118,"score_gpt":0.3074585852022674,"score_spread":0.2902999825899962,"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."}}