Exploring the Lives of Children Born of Conflict‐Related Sexual Violence Through Art
Bibliographic record
Abstract
Although the realities of children born of conflict‐related sexual violence have gained increased attention, limited research has explored the issue from the perspectives of the children themselves. Drawing upon a sample of 79 children born of sexual violence in Lord’s Resistance Army (LRA) captivity, and using arts‐based methods, this study explored the wartime and post‐conflict experiences directly from children born of conflict‐related sexual violence in northern Uganda. The study illustrates how the arts‐based methods of mask‐making, drawing, and life maps—developed in consultation with local researchers and youth born in LRA captivity—helped to capture the complex wartime and post‐war realities of this unique population of children and youth, as well as enabled young people to choose what to share and what to withhold during the research process. More easily distributed, accessed, and consumed than traditional academic publications, the medium of art can have a widespread, immediate, and powerful impact. The article concludes with the strengths, limitations, and ethical implications of arts‐based methods, as well as the importance of considering culture and context for future research.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| 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".