Post-conflict political subjecthood, identity narratives, and children born of forced marriages in Uganda’s LRA
Bibliographic record
Abstract
Historically, children born of war (CBW) have been overlooked in post-war peacebuilding efforts; if they were seen at all, it was primarily as inevitable by-products of war or evidence of crimes. Although this thinking is evolving, and there is growing concern for the unique challenges faced by CBW in the post-conflict context, they are still characterised by narrow narratives, regarded generally by locals as ‘enemy’ and by advocates and transitional justice scholars as victims of the conflict and of their ‘rapist fathers’. Such characterisations influence how they are seen by others, undermine their agency to determine their own identity narratives, and weaken their ability to exercise political subjecthood. Using the case study of northern Uganda, this paper argues that a more nuanced understanding of victimhood, identity, agency, and the needs of CBW generally, one that is generated from the self-reflective considerations of CBW themselves, rather than the limiting approach currently reflected in literature and policy, would better serve the field of transitional justice and post-conflict justice pursuitsFootnote1.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.015 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.002 | 0.005 |
| 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".