{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003357393,0.00009317775,0.000145138,0.000834074,0.0002700547,0.00006487263,0.0002562995,0.00007766039,0.003921892],"category_scores_gemma":[0.003309522,0.0001063949,0.0000284486,0.0009658476,0.0007056104,0.0003131735,0.000008202792,0.0002299697,0.00008761422],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008041649,"about_ca_system_score_gemma":0.01392317,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005118328,"about_ca_topic_score_gemma":0.03532979,"domain_scores_codex":[0.9965518,0.001169269,0.000510364,0.0002132011,0.001061486,0.0004938983],"domain_scores_gemma":[0.9962151,0.002698719,0.00008928362,0.0001419867,0.0006895971,0.0001652938],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.000003005594,0.000305012,0.2400921,0.00001660826,0.000004044293,1.109151e-7,0.1565763,0.000002247794,0.000007933903,0.6003627,0.002531691,0.00009833101],"study_design_scores_gemma":[0.0001493642,0.00002792801,0.6116911,0.00005718134,5.359007e-7,3.775813e-7,0.233774,7.256343e-7,0.00006003314,0.1084846,0.0456278,0.0001264422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9171285,0.0001600683,0.000002956881,0.009430573,0.0003568953,0.0002479525,0.000009916937,0.00000450948,0.07265861],"genre_scores_gemma":[0.9683796,0.00001335702,0.0006865715,0.00007365554,0.0002109032,0.0002517822,0.00004000328,0.000008992028,0.03033512],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4918781,"threshold_uncertainty_score":0.9969887,"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."}}