{"id":"W4327842509","doi":"10.1108/jadee-01-2022-0019","title":"Women’s employment in rural Senegal: what can we learn from non-farm diversification strategies?","year":2023,"lang":"en","type":"article","venue":"Journal of Agribusiness in Developing and Emerging Economies","topic":"Microfinance and Financial Inclusion","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Nonfarm payrolls; Diversification (marketing strategy); Livelihood; Demographic economics; Economics; Agriculture; Poverty; Women's empowerment; Rural area; Empowerment; Labour economics; Business; Economic growth; Geography; Marketing; Political 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":[0.001451317,0.0004391749,0.0004930893,0.001050003,0.001177224,0.00167786,0.000663225,0.0008237102,0.004010709],"category_scores_gemma":[0.002771755,0.0002292561,0.0003969279,0.001742165,0.002080701,0.002617793,0.00170613,0.001169185,0.0003427103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612611,"about_ca_system_score_gemma":0.003121195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03692415,"about_ca_topic_score_gemma":0.07695611,"domain_scores_codex":[0.999356,0.0002410859,0.00002258011,0.00008537873,0.00004989234,0.0002450677],"domain_scores_gemma":[0.99889,0.0004649705,0.0003110839,0.0000357082,0.0001010693,0.0001972204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002911602,0.0002958362,0.6477765,0.00336612,0.0002504559,0.002457408,0.09309531,0.0003815226,0.0005635855,0.007129727,0.006967763,0.2374247],"study_design_scores_gemma":[0.00001433162,0.00029788,0.7079152,0.004182298,0.000109849,0.0007112639,0.2538904,0.0002173647,0.0002186663,0.004585695,0.0278122,0.00004476002],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9184995,0.04210052,0.0002131509,0.0330428,0.000206068,0.00002161716,0.0005320281,0.000004542309,0.005379757],"genre_scores_gemma":[0.9701877,0.02645268,0.0001573734,0.002157362,0.0001276337,0.00002510642,0.0001895167,0.000002699235,0.0006998707],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03692415,"threshold_uncertainty_score":0.07341844,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03250609425883412,"score_gpt":0.2423493879086366,"score_spread":0.2098432936498025,"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."}}