MétaCan
Menu
Back to cohort
Record W2029877286 · doi:10.5296/ijssr.v3i1.7268

PTSD Symptoms in Afghan Refugees in the UK

2014· article· en· W2029877286 on OpenAlexaff
Mariwan Husni, Ghafoor Rahim, Zack Z. Cernovsky

Bibliographic record

VenueInternational Journal of Social Science Research · 2014
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsRefugeeTortureAfghanMedicinePsychiatryDemographyGeographyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Objective: To evaluate anamnestic and sociodemographic correlates of PTSD symptoms in refugees from Afghanistan.Method: Fifty Afghan refugees in the UK (mean age 37.4 years, SD=12.1; 33 men, 17 women) underwent SCID interview for PTSD, administered in their native language (Pashtun or Dari).Results: Eighteen (36.0%) reported being tortured while in Afghanistan. More than half (54.0%) of these refugees met criteria for PTSD. While the diagnosis was not significantly related to age, gender, education, and history of torture, those free of PTSD rated their present occupation in UK as more satisfactory (r=.28, p=.048).Almost a half (46.0%) of these refugees reported nightmares about the circumstances of their escape from Afghanistan.Conclusions: Although PTSD symptoms were noted in more than a half of our sample, they were related neither to history of torture nor to sociodemographic variables (age, gender, education).

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.

How this classification was reachedexpand

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)0.013
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.721
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0130.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.072
GPT teacher head0.521
Teacher spread0.448 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Social Science ResearchSame topicMigration, Health and TraumaFrench-language works237,207