{"id":"W2108578084","doi":"10.5539/ies.v1n2p135","title":"School Quality, Educational Inequality and Economic Growth","year":2008,"lang":"en","type":"article","venue":"International Education Studies","topic":"School Choice and Performance","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gini coefficient; Inequality; Primary education; Economics education; Education economics; Education policy; Higher education; Quality (philosophy); Economic growth; Comparative education; Economics; Educational inequality; Developing country; Economic inequality; Development economics; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009743562,0.0001280515,0.0002135273,0.001269586,0.0004558551,0.001348853,0.0002081864,0.0002883468,0.003277273],"category_scores_gemma":[0.004575222,0.00005524336,0.0002013068,0.00200068,0.0010471,0.000837714,0.0008948987,0.00071515,0.0001762889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008610098,"about_ca_system_score_gemma":0.0005452899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01021535,"about_ca_topic_score_gemma":0.009250407,"domain_scores_codex":[0.9994541,0.0002013107,0.00002522989,0.00003757651,0.0001007344,0.0001811514],"domain_scores_gemma":[0.9962452,0.001253432,0.001468111,0.0001009873,0.0003021983,0.0006300216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001075646,0.000192793,0.9404023,0.00006476438,0.00008247766,0.0001535054,0.0006121491,0.001994126,0.00007560192,0.03245632,0.001377053,0.02248115],"study_design_scores_gemma":[0.000007936073,0.00004766724,0.9747552,0.0001005874,0.00003021497,0.00009311206,0.001519832,0.002865333,0.0001022454,0.01718621,0.003283044,0.000008725711],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9664552,0.003292366,0.0006985611,0.005348392,0.00005342787,0.00001079201,0.0004121269,0.000009319225,0.02371972],"genre_scores_gemma":[0.9987612,0.0005366048,0.00005264646,0.00003533964,0.00002771032,0.000002222356,0.00009057194,0.000001119703,0.0004925159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01021535,"threshold_uncertainty_score":0.02031177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1521207564635433,"score_gpt":0.4824544643249651,"score_spread":0.3303337078614218,"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."}}