Beyond <i>Kafala</i>! Employers’ discriminatory attitudes and violations of the rights and freedoms of women migrant domestic workers in Lebanon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Women migrant domestic workers (WMDWs) constitute 7.7 per cent of migrant workers worldwide, of whom more than a quarter work in the Arab region under the exploitative Kafala, system. In this article, we center employers as key actors in the making of the discursive meaning of Kafala. Utilizing data from a mixed-methods study on Lebanese employers of live-in WMDWs, we investigate whether practices that violate the rights and freedoms of workers are determined by the employers’ knowledge of what Kafala and local legal obligations entail versus other factors. The findings reveal that, although knowledge of legal obligations increases compliance with basic worker rights, employers shape the meaning of Kafala through practices that resonate with their discriminatory attitudes and financial interests. Thus, whilst benefit may accrue from enhancing employers’ knowledge of local legal obligations, only anti-racism advocacy that addresses deep-seated discriminatory attitudes and mobilizes employer morality would improve the rights and freedoms of WMDWs. The article does not abrogate Kafala as an exploitative system but calls for centering employers who, through their daily practices, contribute to shaping its meaning and reinforcing its power.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it