Do educated women in Sierra Leone support discontinuation of female genital mutilation/cutting? Evidence from the 2013 Demographic and Health Survey
Bibliographic record
Abstract
INTRODUCTION: Female genital mutilation/cutting (FGM/C) comprises all procedures that involve the total or partial elimination of the external genitalia or any injury to the female genital organ for non-medical purposes. More than 200 million females have undergone the procedure globally, with a prevalence of 89.6% in Sierra Leone. Education is acknowledged as a fundamental strategy to end FGM/C. This study aims to assess women's educational attainment and how this impacts their views on whether FGM/C should be discontinued in Sierra Leone. METHODS: We used data from the 2013 Sierra Leone Demographic and Health Survey. A total of 15,228 women were included in the study. We carried out a descriptive analysis, followed by Binary Logistic Regression analyses. We presented the results of the Binary Logistic Regression as Crude Odds Ratios (COR) and Adjusted Odds Ratios (AOR) with 95% confidence intervals (CIs). RESULTS: Most of the women with formal education (65.5%) and 15.6% of those without formal education indicated that FGM/C should be discontinued. Similarly, 35% of those aged 15-19 indicated that FGM/C should be discontinued. Women with a higher education level had a higher likelihood of reporting that FGM/C should be discontinued [AOR 4.02; CI 3.00-5.41]. Christian women [AOR 1.72; CI 1.44-2.04], those who reported that FGM/C is not required by religion [AOR 8.68; CI 7.29-10.34], wealthier women [AOR 1.37; CI 1.03-1.83] and those residing in the western part of Sierra Leone [AOR 1.61; CI 1.16-2.23] were more likely to state that FGM/C should be discontinued. In contrast, women in union [AOR 0.75; CI 0.62-0.91], circumcised women [AOR 0.41; CI 0.33-0.52], residents of the northern region [AOR 0.63; CI 0.46-0.85] and women aged 45-49 [AOR 0.66; CI 0.48-0.89] were less likely to report that FGM/C should be discontinued in Sierra Leone. CONCLUSION: This study supports the argument that education is crucial to end FGM/C. Age, religion and religious support for FGM/C, marital status, wealth status, region, place of residence, mothers' experience of FGM/C and having a daughter at home are key influences on the discontinuation of FGM/C in Sierra Leone. The study demonstrates the need to pay critical attention to uneducated women, older women and women who have been circumcised to help Sierra Leone end FGM/C and increase its prospects of achieving Sustainable Development Goals (SDG) three and five.
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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 | 0.004 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".