{"id":"W3185553092","doi":"10.1111/gwao.12740","title":"And roses too: How “Better Work” facilitates gender empowerment in global supply chains","year":2021,"lang":"en","type":"article","venue":"Gender Work and Organization","topic":"Global trade, sustainability, and social impact","field":"Business, Management and Accounting","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Empowerment; Earnings; Context (archaeology); Agency (philosophy); Labour economics; Work (physics); Psychological intervention; Division of labour; Informal sector; Gender and development; Precarity; Clothing; Business; Economics; Economic growth; Sociology; Political science; Market economy; Social change; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.0001674825,0.000182113,0.0001795367,0.00005607744,0.000195905,0.0005759441,0.00006469751,0.0001054199,0.00007354961],"category_scores_gemma":[0.0001923522,0.0001788537,0.0000268028,0.001241928,0.00006016512,0.0005493747,0.0001383297,0.00008071224,0.000007971545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009592724,"about_ca_system_score_gemma":0.00003657221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005671816,"about_ca_topic_score_gemma":0.00004055169,"domain_scores_codex":[0.9989641,0.00003404108,0.0001640783,0.0003395131,0.0001761956,0.000322038],"domain_scores_gemma":[0.9995718,0.00001633061,0.00005365969,0.0001270126,0.0002013839,0.00002982757],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000008302917,0.00006267983,0.992117,0.00008791665,0.00002007007,0.00001673179,0.001933251,0.0000163342,0.00001320214,0.001993564,0.001481735,0.002249142],"study_design_scores_gemma":[0.000435324,0.000003794155,0.981888,0.0000122794,0.00003356364,0.000001642507,0.01081272,0.00001170606,0.00001997709,0.00453474,0.002032263,0.000213968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926606,0.0007609279,0.000602923,0.00473938,0.0002188914,0.0001884605,0.000007667045,0.00006708159,0.0007540436],"genre_scores_gemma":[0.9973447,0.00009965765,0.00007443332,0.001915552,0.0002502935,0.000002854646,0.0001151017,0.00001623661,0.0001811466],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01022905,"threshold_uncertainty_score":0.7293441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01697887201427872,"score_gpt":0.2267097348766849,"score_spread":0.2097308628624062,"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."}}