{"id":"W7133022362","doi":"","title":"Understanding Human Resource Development in a Fragile and ‘Conflict-Affected’ Setting: A Feminist Analysis of Human Resources for Health Policy Initiatives for Midwives, Nurses, and Physicians in Afghanistan (2002–2020)","year":2024,"lang":"","type":"dissertation","venue":"TSpace","topic":"Legal, Health, Environmental and COVID-19 Challenges","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministerio de Economía y Competitividad; United Nations Development Programme; United States Agency for International Development; United Nations Population Fund; UNICEF; Department of Obstetrics and Gynecology, University of Wisconsin-Madison; European Commission; Johns Hopkins University; World Health Organization","keywords":"Reproductive health; Health policy; Human resources; Health care; Institutionalisation; Policy advocacy; Millennium Development Goals; Health human resources; Equity (law); Civil society","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":[0.008271136,0.0004815981,0.0002971341,0.002506706,0.01643359,0.01257246,0.001753738,0.003449805,0.004212314],"category_scores_gemma":[0.00473647,0.0004178661,0.0003480704,0.003602723,0.02635621,0.01140392,0.006718962,0.004842476,0.0001961596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02819576,"about_ca_system_score_gemma":0.01530031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05188952,"about_ca_topic_score_gemma":0.08425003,"domain_scores_codex":[0.9939793,0.004227187,0.00007123865,0.0002289179,0.0003273857,0.001165972],"domain_scores_gemma":[0.9945619,0.004325279,0.0003642658,0.00008364129,0.0002960571,0.0003690165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00002633849,0.00005373943,0.003180677,0.0001437448,0.000008856158,0.0009705365,0.5832182,0.0006413536,0.0002307598,0.3938908,0.005925168,0.01170994],"study_design_scores_gemma":[0.000005783178,0.00002728189,0.004716146,0.0005024624,0.000006750653,0.0001481196,0.8608719,0.0004291746,0.0002261209,0.03027562,0.1027697,0.00002102168],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5320116,0.009470799,0.008398932,0.1889068,0.0004569938,0.0002091708,0.0003942269,0.00002496066,0.2601266],"genre_scores_gemma":[0.9861469,0.002436879,0.001114878,0.004241959,0.00008972239,0.0001528349,0.00005753394,0.00002877359,0.005730652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05188952,"threshold_uncertainty_score":0.2045755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05468907044380844,"score_gpt":0.4089527756580976,"score_spread":0.3542637052142891,"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."}}