Biological Embedding of Psychosocial Stressors Within a Sample of Canadian Firefighters
Bibliographic record
Abstract
OBJECTIVE: We wanted to determine whether the biological embedding of perceived psychosocial stress could be observed within a sample of Canadian firefighters. METHODS: We collected sociodemographic and general health-related information from 58 firefighters. In addition, measures of work-related and general life psychosocial stress, perceived social support, and physiological parameters thought to reflect the embedding of stress were gathered and analyzed using analysis of variance and linear regression models. RESULTS: Despite observing a positive relationship between psychosocial stress and allostatic load, the association was not significant; however, age did significantly predict allostatic load ( B = 0.09, P = 0.04). Notably, our participants reported abundant social support that was inversely associated with perceived stress. CONCLUSIONS: Although perceived stress did not significantly affect allostatic load in our sample, high levels of social support may have provided an important countervailing force.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".