‘At the end of their relationship, that man offered her a house’: Qualitatively exploring Congolese women’s agency in navigating sexual relations with UN peacekeepers within the context of a patriarchal setting in eastern DRC
Bibliographic record
Abstract
The UN's Zero Tolerance Policy, which bans all relationships between UN staff and locals, portrays all relationships as exploitative, fails to account for nuances in these relationships and does not acknowledge the agency of local women or communities. This study uses community-based qualitative data from eastern DRC that shares narratives on a wide variety of consensual relationships between peacekeepers and local women. Our paper uses a data-driven approach, including a post-colonial feminist lens, and ideas of structural agency to provide an expanded definition of agency that invites readers to re-examine their views of women in conflict settings. Finally, we provide clear recommendations for the UN and other international non-governmental agencies on policies related to sexual exploitation and abuse.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 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".