Social and cultural factors perpetuating early marriage in rural Gambia: an exploratory mixed methods study
Bibliographic record
Abstract
Background: Over the last two decades, early marriage in the Gambia declined significantly (from 58% to 30%). Yet evidence indicates that nearly 8.6% of marriages in the Gambia involved girls younger than 15, and 46.5% of marriages are with girls aged 18 or below. The reasons for the decline but continuing practice of early marriage, despite existing legislation prohibiting child marriage, are not very well understood. Very few studies have been conducted to find out what and how local factors influence decisions about early marriage in the Gambia. More information is therefore needed on underlying reasons for the persistence of early marriage in the Gambia so that program managers can use this information to design strategies towards accelerating the decline of early marriages. Methods: The study was conducted in 24 rural settlements in Lower Baddibu District in the North Bank Region of the Gambia. It was based on a mixed-methods design including a cross-sectional household survey with a sample of 181 female adolescents and focus group discussions with 16 male and female parents. Focus group discussions were digitally-recorded, transcribed verbatim and analyzed using thematic content analysis, while survey data were analyzed using Stata. Results: Using multiple regression analysis, this study found that ethnicity more than other factors, exerts an independent effect on early marriage. Themes identified during focus group discussions also revealed that fear of premarital sex and loss of virginity outside marriage were major reasons for the perpetuation of early marriage. Conclusions: These findings suggest that the practice of early marriage in rural Gambia is associated with ethnicity and practices related to social and cultural norms. The findings also suggest that in order to decrease early marriages, future efforts should focus on allaying the fears around premarital sex and loss of virginity related to delay in marriage.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".