{"id":"W1979937392","doi":"10.1108/02610150010786210","title":"Femanomics, women literacy and economics in Sub Saharan Africa","year":2000,"lang":"en","type":"article","venue":"Equal Opportunities International","topic":"African Education and Politics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Empowerment; Economic independence; Literacy; Intervention (counseling); Independence (probability theory); Economic growth; Women's empowerment; State (computer science); Political science; Development economics; Gender studies; Sociology; Psychology; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008827649,0.000282284,0.0002048734,0.001982114,0.00489589,0.003357678,0.0002327148,0.00124521,0.0029269],"category_scores_gemma":[0.001236534,0.00014082,0.0001112087,0.001757437,0.004947793,0.002889203,0.001854693,0.001493931,0.0001198904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002310039,"about_ca_system_score_gemma":0.00194802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008209915,"about_ca_topic_score_gemma":0.01630605,"domain_scores_codex":[0.9995994,0.0002225509,0.000008863786,0.00001090873,0.0000253725,0.0001329266],"domain_scores_gemma":[0.9993198,0.0004351739,0.00009645254,0.00000663113,0.00003914773,0.0001027871],"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":[0.00004866546,0.00009920617,0.01066236,0.0003179066,0.00001125764,0.002657429,0.09489392,0.0001909259,0.00031665,0.7983051,0.02212508,0.07037155],"study_design_scores_gemma":[0.00002130512,0.0001295014,0.03941065,0.001358786,0.00001905251,0.001927162,0.2166476,0.0003564891,0.0005516969,0.1919541,0.547595,0.00002865934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3206886,0.150059,0.001221314,0.2339531,0.001504592,0.00005728723,0.00003972116,0.00001772668,0.2924586],"genre_scores_gemma":[0.925666,0.0475397,0.0002723601,0.005592935,0.000517199,0.00002951045,0.00001019479,0.000007232171,0.02036468],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008209915,"threshold_uncertainty_score":0.01676059,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07247052145677577,"score_gpt":0.327469025169416,"score_spread":0.2549985037126402,"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."}}