{"id":"W121315972","doi":"","title":"Causes of Inequalities in Educational Development among Nationalities in Nigeria","year":2003,"lang":"en","type":"article","venue":"Educational research quarterly","topic":"African Education and Politics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disadvantaged; Disadvantage; Ethnic group; Inequality; Politics; Educational attainment; Economic growth; Educational inequality; Structural inequality; Political science; Distribution (mathematics); Primary education; Development economics; Power (physics); Sociology; Economics; Law","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":[0.0004388861,0.0001496374,0.0002820736,0.001687004,0.002822558,0.001192645,0.0002846748,0.0003529046,0.003153222],"category_scores_gemma":[0.001949716,0.0001809573,0.0002208747,0.001636092,0.001450475,0.0007850032,0.002608575,0.00110153,0.0001324086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00207757,"about_ca_system_score_gemma":0.001391602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03513587,"about_ca_topic_score_gemma":0.05357485,"domain_scores_codex":[0.9992759,0.0001178996,0.00005058763,0.00008329029,0.0001198946,0.0003524441],"domain_scores_gemma":[0.9989954,0.0002251399,0.0003923478,0.0000412476,0.0001181596,0.0002277525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006965665,0.00008959612,0.9285036,0.0001083346,0.00003295592,0.001767327,0.009517513,0.000188125,0.0003400933,0.02669263,0.001281986,0.03140816],"study_design_scores_gemma":[0.000006671034,0.00003042415,0.9605435,0.0003131506,0.00002157091,0.000877505,0.01936119,0.0004291117,0.0002244469,0.01074269,0.007433672,0.00001594463],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9715001,0.002792591,0.000245652,0.003726127,0.00005066155,0.00002015752,0.0002418043,0.000006588733,0.02141635],"genre_scores_gemma":[0.9986834,0.0006013619,0.00006260493,0.00006666065,0.000008211666,0.000006923415,0.00003295057,0.000001252289,0.0005366129],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03513587,"threshold_uncertainty_score":0.06986272,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.15899020052306,"score_gpt":0.4562265231805666,"score_spread":0.2972363226575067,"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."}}