{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003820417,0.00007361532,0.0000937774,0.0001285822,0.0001130088,0.0001540346,0.0002132484,0.00004694484,0.00688675],"category_scores_gemma":[0.00004631875,0.00008734303,0.00002142153,0.00004254657,0.0002384673,0.0003590446,0.00003358399,0.00008243926,0.00007695927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003111714,"about_ca_system_score_gemma":0.000292425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003042462,"about_ca_topic_score_gemma":0.0001812899,"domain_scores_codex":[0.9992174,0.00007323694,0.0002212042,0.0001246582,0.0001185357,0.0002449901],"domain_scores_gemma":[0.9995502,0.0001266137,0.00005134574,0.00007222293,0.00003840049,0.0001612446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000375639,0.0001256257,0.00174141,0.00000470868,0.0000283607,0.000009595862,0.1645726,0.00002142014,0.000001878331,0.6640085,0.01202609,0.1574222],"study_design_scores_gemma":[0.0001628968,0.00001311962,0.0009581902,0.000007192167,0.000001103142,0.000001663049,0.01056885,0.0001295685,0.000002296624,0.01902347,0.9690244,0.0001073031],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.582621,0.00007764955,0.00000629859,0.005795642,0.0003817759,0.00005334616,0.00005659847,0.00001911322,0.4109886],"genre_scores_gemma":[0.9459816,0.003181219,0.00008943563,0.00138562,0.0004126696,0.00001895354,0.00003190017,0.000008009476,0.0488906],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9569983,"threshold_uncertainty_score":0.9940211,"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."}}