{"id":"W4312697579","doi":"10.7227/jha.080","title":"Gender Transformation in Humanitarian Response","year":2022,"lang":"en","type":"article","venue":"Journal of Humanitarian Affairs","topic":"Gender, Security, and Conflict","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Transformative learning; Psychological intervention; Humanitarian crisis; Context (archaeology); Political science; Humanitarian aid; Inequality; State (computer science); Sociology; Economic growth; Gender studies; Development economics; Psychology; Geography; Developmental psychology; Law","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":[0.004240241,0.000119197,0.0002266592,0.0005479791,0.001036926,0.0001023214,0.0005301494,0.00006298178,0.002083737],"category_scores_gemma":[0.0001451449,0.0001309756,0.0001724802,0.0003356468,0.000104771,0.0005313022,0.00004211286,0.000604953,0.0000192502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357882,"about_ca_system_score_gemma":0.000621605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006352686,"about_ca_topic_score_gemma":0.006029773,"domain_scores_codex":[0.9969804,0.001087487,0.0005899638,0.0001283647,0.0008642828,0.0003494744],"domain_scores_gemma":[0.999185,0.000122725,0.0002997049,0.0001364378,0.0001284966,0.0001276469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0009432941,0.0004199378,0.0009680496,0.00001552175,0.00006469918,0.0002923191,0.7918556,0.0003739416,0.0003350968,0.2008802,0.002716068,0.001135238],"study_design_scores_gemma":[0.001547829,0.0005461698,0.02109205,0.00001326538,0.00004214502,0.00007213053,0.5872096,0.00002567185,0.00001702813,0.02354352,0.3656166,0.0002739188],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8478076,0.0007375237,0.000138722,0.004577542,0.001525998,0.0003301989,0.00001234586,0.00003376529,0.1448363],"genre_scores_gemma":[0.9989105,0.0000357233,0.00006643745,0.0001876191,0.0003272291,0.000007598448,0.000002629528,0.00001481094,0.0004474343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3629006,"threshold_uncertainty_score":0.9988285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0426359889926857,"score_gpt":0.2939643991952098,"score_spread":0.2513284102025242,"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."}}