Violence, Well-Being and Level of Participation in Formal Education among Adolescent Girls in Eastern Democratic Republic of the Congo: The Role of Child Marriage
Bibliographic record
Abstract
Child marriage is a well-recognized barrier to education, and exposes girls to an increased risk of violence along with other negative health and developmental outcomes. A quantitative survey was conducted with girls selected from 14 communities in South Kivu, Democratic Republic of the Congo (DRC). Data from 350 girls (ages 13-14) were analyzed using mixed effects logistic regression models. Findings revealed that child marriage was associated with lower levels of participation in formal education as well as higher rates of physical, sexual and emotional violence. In particular, when adjusting for age and girls’ level of participation in formal education, being married was associated with more than a three-fold (OR: 3.23) increased risk of experiencing sexual violence (p<0.001). Married girls were also significantly more likely to affirm the belief that they would be forced to marry their perpetrator in the event that they were raped (p=0.017), suggesting that a portion of girls within this sample may have experienced this occurrence. Although higher levels of participation in formal education were associated with a reduced risk of violence among non-married girls, these differences were not observed for girls who were married. Findings reveal that child marriage has a significantly negative effect on the relationship between girls’ level of participation in formal education and experiences with violence. Taken cumulatively, findings from this study suggest an overall harmful relationship between child marriage and girls’ safety, education and well-being, and that efforts to prevent its occurrence in the DRC and beyond are urgently needed.
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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 | 0.001 | 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 | 0.001 |
| 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 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".