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Record W2006826210 · doi:10.1002/jts.20390

The psychological health of contractors working in war zones

2009· article· en· W2006826210 on OpenAlexaff
Anthony Feinstein, Maggie Botes

Bibliographic record

VenueJournal of Traumatic Stress · 2009
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsPsychological distressDepression (economics)Software deploymentPsychological healthPsychologyAlcohol consumptionPsychiatrySample (material)DistressPublic healthMental healthClinical psychologyMedicineNursingEngineeringAlcohol

Abstract

fetched live from OpenAlex

This study examines the psychological health of contractors working in war zones. Seventy-nine contractors completed an Internet-based psychiatric assessment. The sample was exclusively male with a mean age of 43 (SD = 7) years. The number of contractors whose scores exceeded the cutoff points for depression, psychological distress, and excessive weekly alcohol consumption were 15 (20%), 21 (28%), and 13 (17%), respectively. A third of contractors had posttraumatic stress disorder (PTSD) scores in the moderate to severe range. Approximately 10% of contractors had employer-organized access to psychological help following deployment. This study provides the first empirical data showing that a significant minority of contractors working in war zones are psychologically distressed and not receiving therapy.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.908
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
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 head0.127
GPT teacher head0.453
Teacher spread0.326 · 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

Citations17
Published2009
Admission routes1
Has abstractyes

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