Predictors of physical violence against children in Rwanda: findings from a National Cross-Sectional Survey
Bibliographic record
Abstract
BACKGROUND: To address the challenges of limited national data on the prevalence and nature of violence experienced by children, Rwanda conducted, in 2015-2016, the first National Survey on Violence among female and male children and youth aged 13-24 years. To further contribute to these efforts to fill existing data gaps, we used the Rwanda survey data to assess the prevalence and predictors of physical violence (PV) in children aged 13-17. METHODS: A nationally representative sample of 618 male and 492 female children were analysed. Nationally representative weighted descriptive statistics were used to analyse the prevalence of PV self-reported by children, and logistic regression models were applied to investigate its predictors. RESULTS: Sixty percent of all children, including 36.53% of male and 23.38% of female children, reported having experienced any form of PV in their lifetime. Additionally, 21.81% of male children and 12.73% of female children reported experiences of PV within twelve months before the survey date. Older children (OR: 0.53 [0.40-0.72]), female children (OR: 0.43 [0.31-0.58]), and children not attending school (OR: 0.48 [0.31-0.73]) were less likely to be physically abused. However, sexually active children (OR: 1.66 [1.05-2.63]), children in households from the middle wealth quintile (OR: 1.63 [1.08-2.47]), children living in a larger family (OR: 1.55 [1.07-2.26]), and children who reported not feel close to both biological parents (OR: 2.14 [1.31-3.49]) had increased odds of reporting physical violence. CONCLUSION: Higher rates of PV in children attending school were the key finding. There is an urgent need to design and implement particular national interventions to prevent and reduce the incidence of PV in schools in Rwanda. PV was also associated with poor parent-child relations. Parents and other adult caregivers should be sensitised to the consequences of PV on children and be urged to adopt positive parenting practices.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".