‘They Put a Few Coins in Your Hand to Drop a Baby in You’: A Study of Peacekeeper-fathered Children in Haiti
Bibliographic record
Abstract
Many peace support operations have faced allegations of sexual exploitation and abuse perpetrated by UN personnel against members of local communities. Some of these intimate relations result in children being born but there is little empirical data on the experiences of women and girls who conceive and bear these children. We analyse 265 self interpreted narratives from community members in Haiti about children fathered by UN personnel and born to local women or girls. The mixed methods results highlight three important themes: (a) poverty is a key underlying factor contributing to sexual exploitation and abuse by peacekeeping personnel, (b) the repatriation of implicated peacekeepers often leaves the woman and child in exacerbated poverty, and (c) intimate relations with fair-skinned peacekeepers and having fair-skinned children are sometimes perceived as desirable. The data highlight that children fathered by MINUSTAH personnel are typically being raised in settings of extreme economic deprivation and are often denied access to education and other basic services that would enable them to break the cycle of poverty. While the overarching need identified in this analysis is financial, additional research with the children themselves in warranted to identify other needs and to inform policies and programmes intended to improve their well-being.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".