“It was with my consent since he was providing me with money”: a mixed methods study of adolescent perspectives on peacekeeper-perpetrated sexual exploitation and abuse in the Democratic Republic of Congo
Bibliographic record
Abstract
BACKGROUND: The United Nations Organization Stabilization Mission in the Democratic Republic of Congo (MONUSCO) has been marred by widespread allegations of sexual exploitation and abuse (SEA) of women and girls by UN peacekeepers. There is minimal research conducted on the perceptions of communities most affected by the SEA themselves, and even less about those below the age of 18. METHODS: Using mixed-methods data, we examined the perceptions of adolescents aged 13-17 on how the lives of women and girls have been affected by the presence of UN peacekeepers within the DRC. SenseMaker, a mixed-methods narrative capture tool, was used to survey participants around six United Nations bases across eastern DRC. Each participant shared a story about the experiences of Congolese women and girls in relation to MONUSCO personnel and interpreted their own stories by answering a series of questions. Patterns of adolescent perspectives (aged 13-17) were analyzed in comparison to all other age groups and emerging qualitative themes were mapped onto quantitative variables. RESULTS: Quantitative data showed that adolescents were more likely, in comparison to all other age groups, to perceive interactions between peacekeepers and women/girls as being initiated by the woman/girl, that the MONUSCO personnel was perceived to be able to offer protection, and that the interactions between local women/girls and peacekeepers were sexual in nature. Three qualitative themes emerged: poverty bringing peacekeepers and women/girls together, material/financial gain through transactional sex and sex work, and support-seeking actions of affected women/girls. CONCLUSIONS: Our mixed methods data illustrate the problematic finding that adolescents facing poverty may perceive SEA as protective through the monetary and material support gained. These findings contribute to the growing body of literature on peacekeeping economies and have implications for the prevention of, and response to, peacekeeper-perpetrated SEA.
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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 | 0.000 |
| 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".