Reporting sexual exploitation and abuse by UN peacekeeping personnel: a research proposal on community perspectives
Bibliographic record
Abstract
Persons displaced by conflict are considered especially vulnerable to sexual abuse by peacekeepers. While the UN reports publicly on allegations of "sexual exploitation and abuse" by peacekeepers, it is widely acknowledged that under-reporting is a significant problem. Proposed qualitative research involving local civil society organizations and community leaders supporting victims in the context of displacement will elicit their perceptions on the barriers to, and challenges associated with, formal reporting. The planned study, set out as a proposal, will assess perceptions of current reporting structures and recent UN reforms regarding "community-based complaint reception and mechanisms." This will inform further research and consultations into the design of more appropriate reporting structures. The research's dissemination, linked to the Code Blue campaign's advocacy to end impunity for sexual violence by peacekeepers, will seek to convince UN decision-makers that systemic reforms are needed to ensure that victims have better access to appropriate support and criminal justice.
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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 | 0.071 | 0.068 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.009 | 0.021 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".