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Record W2603347567 · doi:10.1108/ijes-10-2016-0020

Firefighters and traumatic stress: a review

2017· review· en· W2603347567 on OpenAlexaff
Alex Fraess‐Phillips, Shannon L. Wagner, R. Luke Harris

Bibliographic record

VenueInternational Journal of Emergency Services · 2017
Typereview
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsTraumatic stressPsychologyContext (archaeology)Coping (psychology)Compassion fatiguePsychological resilienceMedicineMedical educationApplied psychologyClinical psychologyBurnoutPsychotherapist

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to provide a review of the literature with respect to traumatic stress in a firefighting context. The goal was to provide a clear and concise review intended for use by both researchers and practitioners. Firefighters are an under-researched group in the academic literature and updated review articles are necessary to advance this body of work. Design/methodology/approach Searches of the English language literature on firefighters and traumatic stress were completed and supplemented with a review of clinical information related to post-traumatic stress disorder (PTSD). The search was comprehensive but was not guided by systematic review guidelines. Findings Research regarding firefighters and traumatic stress is limited and inconsistent in outcome. Much of the available literature supports a link between fire service work and increased post-traumatic symptomatology; however, some research has neglected to demonstrate a relationship for these factors. Some efforts such as the training of coping skills and team building may improve firefighters’ resilience to PTSD, while therapeutic and psychopharmacological treatments may be effective in reducing PTSD progression. Originality/value To the authors’ knowledge, no previous paper is available that has specifically intended to address firefighters and traumatic stress in a review format for researchers and practitioners. In the authors’ experience, fire service members are eager for literature addressing their profession and presented in a manner accessible for both non-academic and academic audiences.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.941
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0030.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.308
GPT teacher head0.557
Teacher spread0.248 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations44
Published2017
Admission routes1
Has abstractyes

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