Employment discrimination faced by Muslim women wearing the hijab: exploratory meta-analysis
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
This study tested the hypothesis that Muslim women who wear the hijab are disadvantaged in employment processes relative to their counterparts who do not wear the hijab. A meta-analysis synthesized the findings of seven studies published between 2010 and 2020. The sample-weighted, pooled estimate among the most internally valid, experimental studies suggested that the chances of being hired and so gainfully employed were 40% lower among Muslim women wearing the hijab than they were among, otherwise similar, Muslim women not wearing the hijab: relative risk (RR) = 0.60 within a 95% confidence interval (CI) of 0.54, 0.67. This religion-based discrimination effect was deemed hugely significant in human, public health and policy senses. Immigration trends suggest that millions of Muslim women in the west likely experienced such employment discrimination over the past generation, and millions more are bound to similarly suffer over the next generation if policy status quos are retained. It seems that much of the relatively greater employment discrimination experienced by Muslim women who wear the hijab is due largely to potential employers' prejudicial reactions to the hijab itself. Practice and policy implications and future research needs are discussed.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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