And roses too: How “Better Work” facilitates gender empowerment in global supply chains
Bibliographic record
Abstract
Abstract Women's increasing entry into paid work has not been accompanied by a corresponding change in the gender division of unpaid labor in the household and community. Though women participate in the labor market, the expectation is that they will also take responsibility for the household. To what degree does women's waged work in the garment industry transform gender norms and dynamics in their home lives? To what extent do the choices they make translate to their household‐level empowerment? This practice‐focused article examines these questions by looking at data collected on gender dynamics at work and at home in the clothing industries of Bangladesh, Cambodia, Kenya, Lesotho, and Vietnam. While women's empowerment through garment sector employment remains circumscribed by low wages, financial insecurity, and gendered expectations, we find that international interventions, namely the International Labor Organization's Better Work program, has expanded women's abilities to exert agency over their earnings within the context of household resource allocation and has decreased the negative effects of ongoing and systemic financial precarity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".