{"id":"W565578472","doi":"","title":"Inequality of Educational Opportunities in Egypt","year":2014,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Global Educational Reforms and Inequalities","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inequality; Socioeconomic status; Tracking (education); Vocational education; Educational inequality; Quarter (Canadian coin); Test (biology); Demographic economics; Mathematics education; Political science; Economic growth; Psychology; Sociology; Geography; Pedagogy; Demography; Economics; Population; Mathematics","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":[0.000320385,0.00009536552,0.00019716,0.00197777,0.0005057942,0.00121642,0.0002178302,0.0001581209,0.003513439],"category_scores_gemma":[0.0009493971,0.00005789274,0.0001076973,0.002562245,0.0006151892,0.0005493082,0.001370404,0.000270524,0.0001554756],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002205518,"about_ca_system_score_gemma":0.0007672803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03717168,"about_ca_topic_score_gemma":0.03813259,"domain_scores_codex":[0.999616,0.00004698663,0.00001806403,0.00004406406,0.00006520014,0.0002095983],"domain_scores_gemma":[0.9996244,0.00007139565,0.0001209605,0.0000243242,0.00007916596,0.00007979692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003622161,0.0001304798,0.8495974,0.000147091,0.0001386827,0.001010458,0.00943435,0.001674223,0.001149347,0.0612342,0.002586321,0.07253523],"study_design_scores_gemma":[0.000006940225,0.00002490168,0.9824793,0.00006494769,0.00001537206,0.0001307903,0.005252218,0.0006955306,0.0002288683,0.003792045,0.007298224,0.00001066226],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9887629,0.0005090217,0.0001460688,0.0004539992,0.000003707169,0.000004484344,0.000517039,0.000003112845,0.009599631],"genre_scores_gemma":[0.9991794,0.00013938,0.0000289717,0.00001233966,0.000002784544,0.000001643826,0.0001067146,6.084424e-7,0.0005281803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717168,"threshold_uncertainty_score":0.07391059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375543692745443,"score_gpt":0.4219340522141211,"score_spread":0.2843796829395767,"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."}}