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Record W2581370583 · doi:10.1080/15325024.2017.1284515

Behavioral Health and Firefighters: An Intervention and Interviews with Canadian Firefighters

2017· article· en· W2581370583 on OpenAlex
Anne Sommerfeld, Shannon L. Wagner, Henry G. Harder, Glen Schmidt

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Loss and Trauma · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Performance
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsVeterans AffairsPsychological interventionIntervention (counseling)Participatory action researchPsychologyQualitative researchPerspective (graphical)Applied psychologyNursingMedicineSociology

Abstract

fetched live from OpenAlex

The present study described participatory action research regarding behavioral health of firefighters. At the request of the participant fire department, the Veterans’ Affairs Wellness kit was used to provide wellness information to members. During the intervention, qualitative data from the researcher perspective was collected and subsequently coded to reveal themes about lessons learned during provision of the materials. Following the intervention at the department level, individual interviews were completed with a subsample of members and their spouses. The combined outcomes from these two research phases suggest that wellness interventions for firefighters should be informal, firefighter-specific, focused on programs endorsed by firefighter-related organizations, and supported by management and frontline supervisors. From our data, we suggest that the Veterans’ Affairs Wellness kit should be studied further as a potentially meaningful fire service intervention. Further, we propose that this and other interventions should take into account job aspects identified as important by both members and their spouses.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.121
GPT teacher head0.480
Teacher spread0.359 · 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