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Record W2143772912 · doi:10.1002/jts.20133

Alexithymia and PTSD symptoms in urban police officers: Cross-sectional and prospective findings

2006· article· en· W2143772912 on OpenAlexaboutno aff
Shannon E. McCaslin, Thomas J. Metzler, Suzanne R. Best, Akiva Liberman, Daniel S. Weiss, Jeffrey Fagan, Charles R. Marmar

Bibliographic record

VenueJournal of Traumatic Stress · 2006
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
FundersNational Institute of Mental Health
KeywordsAlexithymiaPsychologyCross-sectional studyPsychiatryClinical psychologyToronto Alexithymia ScalePosttraumatic stressMedicine

Abstract

fetched live from OpenAlex

The relationship of alexithymia to posttraumatic stress disorder (PTSD) symptomatology was examined cross-sectionally in 166 urban police officers surveyed between 1998 and 1999 and prospectively in 54 of these officers who participated in a follow-up survey after the September 11, 2001 (9/11) terrorist attacks. In cross-sectional analyses, alexithymia scores were positively associated with PTSD symptom levels and self-reported childhood emotional abuse--neglect, but not with cumulative level of critical incident exposure. Alexithymia scores accounted for 11.2% of the variance in PTSD symptoms prior to accounting for additional predictors, but did not retain significance in the final model. In prospective analyses, alexithymia scores significantly predicted 9/11-related PTSD symptom severity over and above pre-9/11 PTSD symptoms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.293
Teacher spread0.279 · 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 source (direct Gemma or distilled Codex), 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

Citations65
Published2006
Admission routes1
Has abstractyes

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