{"id":"W2023704376","doi":"10.1353/arw.2005.0067","title":"Beneath International Famine Relief in Ethiopia: The United States, Ethiopia, and the Debate over Relief Aid, Development Assistance, and Human Rights","year":2005,"lang":"en","type":"article","venue":"African Studies Review","topic":"Historical and Contemporary Political Dynamics","field":"Arts and Humanities","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Concordia University","keywords":"Famine; Dignity; Human rights; Government (linguistics); Political science; Politics; Development aid; Economic growth; Dilemma; Public administration; Development economics; Law; Sociology; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.002137335,0.0002154548,0.0001484055,0.001345576,0.004879165,0.007273878,0.0002808499,0.001279688,0.003863912],"category_scores_gemma":[0.001675626,0.0001205862,0.00008042797,0.002388635,0.005307078,0.002543365,0.001583916,0.001570755,0.0001746481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003601327,"about_ca_system_score_gemma":0.003066407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01060102,"about_ca_topic_score_gemma":0.0155063,"domain_scores_codex":[0.9991987,0.0004951215,0.00001865534,0.00003124622,0.00006900939,0.000187217],"domain_scores_gemma":[0.9992121,0.0004736532,0.0001396377,0.00001744882,0.00008464381,0.00007249137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001003848,0.00009930447,0.007655932,0.0005038386,0.00002083397,0.001553329,0.1145661,0.0002994321,0.0005252041,0.7993826,0.0210043,0.05428872],"study_design_scores_gemma":[0.00001798609,0.0000498529,0.01098809,0.0020976,0.00002700459,0.0006212781,0.3552248,0.0001593804,0.0006006191,0.01642492,0.6137664,0.00002217119],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.363244,0.1579248,0.000419867,0.1087012,0.001479287,0.00001556287,0.00008754171,0.000009943657,0.3681178],"genre_scores_gemma":[0.9552357,0.03429763,0.00010318,0.003375713,0.000276097,0.000008230078,0.00001374995,0.000004637948,0.006684904],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01060102,"threshold_uncertainty_score":0.0261296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0364918243317768,"score_gpt":0.2745726591107799,"score_spread":0.2380808347790031,"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."}}