{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00647475,0.0002952835,0.000181355,0.0007818431,0.006262696,0.004019043,0.0004907231,0.001203105,0.007963833],"category_scores_gemma":[0.006376986,0.0001506457,0.0001726963,0.0006253783,0.01266594,0.002421517,0.005153495,0.001775656,0.0004096163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003003458,"about_ca_system_score_gemma":0.003314219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004378273,"about_ca_topic_score_gemma":0.007000394,"domain_scores_codex":[0.993793,0.004627202,0.0000875403,0.0002315941,0.0003704984,0.000890169],"domain_scores_gemma":[0.9974073,0.00129011,0.0004402718,0.0001021979,0.0002341649,0.0005259854],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001201219,0.0001374277,0.02204798,0.0002920097,0.00001682444,0.001541165,0.4436843,0.00043596,0.001122282,0.4315757,0.01386706,0.08515917],"study_design_scores_gemma":[0.00001482158,0.0001601621,0.01994807,0.001015437,0.000009534115,0.0008383655,0.6084521,0.0002834795,0.000741249,0.08363803,0.2848598,0.00003892391],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4816243,0.008940685,0.01020076,0.06861074,0.002265354,0.0001673384,0.0001403822,0.00005158176,0.4279989],"genre_scores_gemma":[0.9897342,0.00128374,0.000496765,0.001698687,0.0001147166,0.00003725482,0.00001114399,0.00001130266,0.006612211],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007963833,"threshold_uncertainty_score":0.03424215,"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."}}