{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00276388,0.0002697017,0.0001173206,0.0006532462,0.004067123,0.005238936,0.000378783,0.0007176597,0.02333306],"category_scores_gemma":[0.003203182,0.0001574531,0.0001898968,0.0006356836,0.007970395,0.003312139,0.004457362,0.0007892603,0.000854664],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002000805,"about_ca_system_score_gemma":0.002694191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005023444,"about_ca_topic_score_gemma":0.01265956,"domain_scores_codex":[0.998425,0.0009646483,0.00002543441,0.000119686,0.0001191221,0.0003460369],"domain_scores_gemma":[0.9984646,0.0006457588,0.0002462556,0.000172088,0.0001132265,0.0003581495],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002240174,0.0004076822,0.08733937,0.0003578734,0.00003275783,0.001661123,0.4074384,0.001015419,0.003388856,0.3245946,0.01263106,0.1609087],"study_design_scores_gemma":[0.00005028443,0.0002675903,0.05913065,0.0005972622,0.00003062099,0.0003773595,0.5267553,0.00077783,0.001942267,0.09747796,0.3125444,0.00004847858],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6828321,0.0004604444,0.003105289,0.01422779,0.00009565715,0.00006695819,0.00006237548,0.00004038645,0.299109],"genre_scores_gemma":[0.9930489,0.0001530854,0.0003373086,0.0002984391,0.00001285056,0.00001156644,0.00001023302,0.000009869245,0.006117657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02333306,"threshold_uncertainty_score":0.07805693,"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."}}