{"id":"W4402110323","doi":"10.55016/ojs/jet.v41i1.52537","title":"Race to Equity: Disrupting Educational Inequality","year":2018,"lang":"en","type":"article","venue":"Journal of educational thought.","topic":"Education Systems and Policy","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Race (biology); Equity (law); Economics; Demographic economics; Sociology; Political science; Mathematics; Gender studies","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005835516,0.0003889709,0.0004104874,0.00138959,0.01822224,0.01066393,0.001364887,0.003857465,0.0104765],"category_scores_gemma":[0.01020531,0.000311827,0.0005135757,0.001060768,0.03229591,0.009948459,0.02178615,0.006541496,0.0006019311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01347542,"about_ca_system_score_gemma":0.01504064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07519887,"about_ca_topic_score_gemma":0.1227641,"domain_scores_codex":[0.9931518,0.002611346,0.00008387153,0.0004926073,0.0007212571,0.002939198],"domain_scores_gemma":[0.9946607,0.001861093,0.0004364935,0.0003586506,0.0005345078,0.002148628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003902126,0.00006367984,0.007328342,0.00003255241,0.00001059903,0.0001720949,0.03573414,0.0002186751,0.0002828447,0.9077755,0.01729753,0.03104522],"study_design_scores_gemma":[0.00007139726,0.000116518,0.0132708,0.0003760807,0.00002582304,0.0001669916,0.0699773,0.0009343845,0.001486182,0.5894268,0.3241044,0.00004335082],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2306262,0.003706396,0.008294301,0.2483644,0.001561733,0.00006146092,0.00006577966,0.00009407722,0.5072256],"genre_scores_gemma":[0.9619745,0.0005310192,0.0008331075,0.01262253,0.0003085742,0.00005186494,0.00001484788,0.0000396724,0.02362395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07519887,"threshold_uncertainty_score":0.1495223,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127481519863778,"score_gpt":0.5076389168287039,"score_spread":0.3948907648423261,"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."}}