Peacekeeper-perpetrated sexual exploitation and abuse in the Democratic Republic of the Congo: Legal pluralism and legal recession
Bibliographic record
Abstract
Abstract The United Nations (UN) has operated a longstanding peacekeeping mission in the Democratic Republic of the Congo (DRC), while simultaneously contributing to rule-of-law building and transitional justice processes. Sexual violence is widespread in the DRC including routine allegations against UN peacekeepers. The operation of numerous legal systems and judicial mechanisms in the DRC produces a legally plural environment that is difficult for survivors of sexual and gender-based violence to navigate, and this is especially true for survivors of peacekeeper-perpetrated sexual exploitation and abuse (SEA). In this paper, we explore justice-seeking among SEA survivors in the DRC and the challenges imposed by the complicated jurisdictions and layered legalities pertaining to SEA. Moreover, we argue that, beyond barriers to justice, we see a recession of justice for SEA produced by the United Nations and member states positioning SEA as distinct from other forms of gender-based harms and exacerbated through the legal navigational challenges faced by survivors.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".