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Social support as a mediator of psychological distress in firefighters

2009· article· en· W2028700917 on OpenAlexaff
Cheryl Regehr

Bibliographic record

VenueThe Irish Journal of Psychology · 2009
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsFirefightingSocial supportPsychologyDistressService (business)Psychological distressService memberSocial psychologySocial workDepression (economics)Applied psychologyClinical psychologyMental healthPsychotherapistMilitary personnelBusinessPolitical science

Abstract

fetched live from OpenAlex

Of the multiple factors found to mediate distress secondary to traumatic exposure in firefighters, social support is consistently found to be associated with the occurrence of posttraumatic symptoms and depression. This paper reports four studies on social support in firefighters in order to provide a more comprehensive picture about the nature of social support in the fire service, and to explore factors that may enhance or undermine the social supports of firefighters. Results indicate that while social support is an important mediator of distress, social supports are lower in experienced firefighters than new recruits. The combined qualitative and quantitative findings suggest that the nature of the job of firefighting, and the culture of the organisation, place the social support network of firefighters at risk as a career evolves. This is an important consideration for firefighting organisations, and suggests that increased attention must be played to support families in order to ensure optimal health, well–being, and functioning of the critical members of the public emergency services.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.926
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.137
GPT teacher head0.503
Teacher spread0.365 · 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 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

Citations57
Published2009
Admission routes1
Has abstractyes

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