MétaCan
Menu
Back to cohort
Record W4401975885 · doi:10.17645/si.8422

Exploring the Lives of Children Born of Conflict‐Related Sexual Violence Through Art

2024· article· en· W4401975885 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

VenueSocial Inclusion · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsMcGill University
FundersKillam TrustsCanada Council for the ArtsPierre Elliott Trudeau Foundation
KeywordsSexual violenceSociologyGender studiesCriminologyPsychology

Abstract

fetched live from OpenAlex

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.094
GPT teacher head0.311
Teacher spread0.217 · 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