{"id":"W3158518757","doi":"10.1080/09614524.2021.1911939","title":"Why technocratic understandings of humanitarian accountability undermine local communities","year":2021,"lang":"en","type":"article","venue":"Development in Practice","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Accountability; Technocracy; Cognitive reframing; Politics; Public administration; Political science; Humanitarian aid; Equity (law); Public relations; Sociology; Law; Psychology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.01539232,0.0002336466,0.0002436846,0.001468844,0.008755671,0.01231796,0.001271851,0.002665124,0.005374926],"category_scores_gemma":[0.0295339,0.0002887094,0.0002587666,0.001129955,0.04315706,0.01131218,0.007800957,0.005518554,0.0004499858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01257881,"about_ca_system_score_gemma":0.01557617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02399519,"about_ca_topic_score_gemma":0.03770963,"domain_scores_codex":[0.9840694,0.01057936,0.0003365042,0.001064987,0.001944608,0.00200512],"domain_scores_gemma":[0.9798523,0.009621867,0.003043365,0.001953774,0.003566257,0.001962387],"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":[0.00005211054,0.00009133272,0.009969368,0.0002210316,0.00002745485,0.0003121716,0.2648828,0.001209402,0.0005549194,0.6842731,0.009503729,0.02890255],"study_design_scores_gemma":[0.00004211069,0.00006826211,0.01073387,0.0007189445,0.00002374585,0.0001859777,0.4238679,0.001563853,0.0006376472,0.4629832,0.09909848,0.00007603904],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4464704,0.001735702,0.01769846,0.2052794,0.0004507095,0.0001082619,0.00006077691,0.00008861848,0.3281077],"genre_scores_gemma":[0.9958978,0.0001809697,0.0005336159,0.001891851,0.00002098909,0.00001769024,0.000005003265,0.0000188665,0.00143311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9912443,"threshold_uncertainty_score":0.09126604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05108392853991284,"score_gpt":0.3357036887970209,"score_spread":0.2846197602571081,"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."}}