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Children and War: Current Understandings and Future Directions

2001· review· en· W2162189368 on OpenAlex
Hélène Berman

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

VenuePublic Health Nursing · 2001
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsRefugeePublic healthCommissionMental healthOppressionFace (sociological concept)PopulationWorld War IIPolitical scienceCriminologyPsychologyPsychiatryMedicineSociologyEnvironmental healthNursingSocial sciencePoliticsLaw

Abstract

fetched live from OpenAlex

During the last decade, the number of children whose lives have been disrupted by war, oppression, terror, and other forms of conflict has grown tremendously. When the United Nations High Commission for Refugees was first established during the 1950s to provide international protection to refugees following World War II, it was estimated that there were 1.5 million refugees and displaced persons. Today there are approximately 14 million, about three-fourths of whom are women and children. Although the experiences of refugee children and adolescents vary considerably, many have witnessed or experienced the death or murder of loved ones. Upon resettlement, they face numerous challenges. Research with this population is a relatively new area of investigation, but there is evidence that many of these young people experience long-term physical and emotional health problems. In this article, current research findings are reviewed, the widespread emphasis in the literature on post-traumatic stress disorder (PTSD) is critically examined, future research directions are suggested, and implications for public health nurses are addressed.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.118
GPT teacher head0.440
Teacher spread0.322 · 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