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Record W2112065226 · doi:10.1177/0020872809358400

Coping with the trauma of war: Former child soldiers in post-conflict Sierra Leone

2010· article· en· W2112065226 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.

Bibliographic record

VenueInternational Social Work · 2010
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill University
Fundersnot available
KeywordsSierra leoneGlobeSpanish Civil WarCoping (psychology)Sexual violenceArmed conflictSuicide preventionPoison controlPolitical scienceCriminologyPsychologyGender studiesSociologySocioeconomicsMedicinePsychiatryLawMedical emergency

Abstract

fetched live from OpenAlex

Children across the globe have been implicated in armed conflict as both victims and participants. During Sierra Leone’s decade-long civil war, thousands of children, both boys and girls, participated directly in armed conflict or were recruited for labour or sexual exploitation in armed groups. Drawing upon in-depth interviews with 80 children formerly associated with Sierra Leone’s Revolutionary United Front, this paper explores children’s experiences of violence during the armed conflict, traces the realities that children faced in the aftermath of the war, and examines the ways in which participants attempted to cope with the war’s profound after-effects. The paper concludes with a discussion of the implications for social work.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.318
Teacher spread0.301 · 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