Extinguishing Stigma among Firefighters: An Examination of Stress, Social Support, and Help-Seeking Attitudes
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.
Bibliographic record
Abstract
Firefighters are exposed to highly stressful environments, often witnessing multiple traumatic events throughout their careers. The cumulation of stress and traumas firefighters are exposed to have left many in the profession with physical and psychological injuries, and with such injuries left untreated, can lead to lifelong suffering or suicide. The primary objectives for this research investigate firefighter occupational stress, peer support, and attitudes towards help-seeking for mental health in the hopes to fill in gaps understanding why firefighters continue to suffer in silence. Employing a mixed-methods research design, a survey questionnaire was collected from 254 firefighters from a large fire department in British Columbia, Canada. Consistent with the existing literature, findings suggest that the levels of peer support mitigated occupational stress, that is, those who reported higher levels of peer support also reported lower occupational stress levels. Firefighters provided information on what types of support they prefer according to the types and severity of stressors. Suggestions from the respondents provide information on how barriers to receiving help, such as stigma, may be addressed at the organizational level. Implications and recommendations for interventions addressing stigma and help-seeking amongst firefighters are discussed.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it