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Record W4417034506 · doi:10.1080/21624887.2025.2598488

Post-conflict political subjecthood, identity narratives, and children born of forced marriages in Uganda’s LRA

2025· article· en· W4417034506 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCritical Studies on Security · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPoliticsIdentity (music)ImmigrationWork (physics)

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.026
GPT teacher head0.394
Teacher spread0.368 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it