Bibliographic record
Abstract
This book explores the integration of children born of war (CBOW) into post-conflict societies by investigating children fathered by foreign soldiers in several conflicts spanning much of the 20th and 21st centuries: the Second World War, the Vietnam War, the Bosnian War, the sub-Saharan African conflicts around the Rwandan Genocide and the LRA conflict and late 20th century peacekeeping operations. Using these case studies as starting points, the volume explores the challenges faced by the children themselves and their mothers within their post-conflict receptor communities by looking at the development of experience over time and across different geographical regions. It contextualises historically the conflict and post-conflict policies towards children born of war and their families and discusses the consequences of such policies. In particular, it analyses comparatively childhood adversities and psychosocial challenges as well as changes to the legal and political environments while being mindful of giving the CBOW themselves a voice through participatory research methods. The book is based on extensive archival research including archival research in Germany, France, the United Kingdom, the United States Canada and the Netherlands as well as oral history research among CBOW in the UK, US, Germany and Uganda. Its insights will be of value not only for academic scholars in history, political and social science, development studies and psychology, but also for NGO practitioners, policy makers and those engaged in advocacy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".