Gender differences in support for the discontinuation of female genital cutting in Sierra Leone
Bibliographic record
Abstract
Despite decades of policies, interventions and legislation, many girls and women are being subjected to female genital cutting (FGC) across the African continent. Because FGC has profound implications for women's wellbeing and reproductive health rights, an examination of behavioural changes toward the practice is imperative to reinforce strategies directed at eradicating it. Using a nationally representative survey, this study examines support for discontinuation of FGC and its associated predictors among both women and men in Sierra Leone. Findings reveal gender differences in attitudes toward the elimination of the practice across most of the socioeconomic predictors. Interestingly, beliefs about and perceived benefits of FGC emerge as important determinants of the support for the elimination of FGC, both genders considered. The findings highlight the importance of achieving gender equality and women's empowerment, and the necessity for a more contextualised approach to FGC eradication.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".