Empowering refugee women in Brazil: the moral economy of corporate-sponsored initiatives for social integration
Bibliographic record
Abstract
Abstract This paper presents the Empowering Refugee Women program, created in 2015, an inter-agency initiative of UN Women, UNHCR, the Global Compact Network, and the corporate sector aimed at enhancing the employability of refugee women in Brazil. Focusing on how entering the labor market is positioned as the primary means to ensure successful integration, the program calls upon refugee women to acquire a specific set of mindsets and behaviors prescribed by a moral economy based on individual merits, maternal altruism, and strong work ethics. Through a critical content analysis of the program’s institutional communication, I demonstrate how this corporate-sponsored initiative is built upon a particular moral economy formed by corporate humanitarianism and ideals of economic independence as a symbol of moral progress and deservingness for refugee women. By presenting refugee women as valuable investments and competitive advantages in corporate discourses, I argue that opportunity emerges as an all-encompassing category capable of accommodating capital accumulation, ideals of social inclusion, and solutions to the humanitarian crisis.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".