CardioRespiratory Effects of Wildfire Suppression (CREWS) study: an experimental overview
Bibliographic record
Abstract
) and other wildfire-associated pollutants (carbon monoxide) have previously been linked to acute cardiovascular and respiratory dysfunction. Despite mounting epidemiological evidence of cardiorespiratory-related morbidity and mortality related to wildfire suppression exposures, the chronic effects (>1 year) of wildland firefighting on the pathophysiological progression of cardiorespiratory disease in this vulnerable group remain largely uncharacterized. Thus, a repeated-measures study with open recruitment over 3-years was designed in partnership with the University of British Columbia Okanagan and the British Columbia Wildfire Service (BCWS) to address gaps in wildland firefighter (WFF) health research. The primary aims of the CardioRespiratory Effects of Wildfire Suppression (CREWS) Study are to: 1) Examine the chronic effect(s) of wildfire suppression on selected aspects of vascular and respiratory health in BCWS WFFs, 2) Examine cardiorespiratory effect(s) of acute (e.g., cross-shift) wildfire suppression, and 3) Identify mechanisms contributing to the progression of wildfire-associated cardiorespiratory dysfunction in WFFs. To address these aims, as detailed in this overview, selected clinical and subclinical cardiorespiratory measures, circulating and airway-specific inflammatory biomarkers, heavy metal exposure, and personal air sampling methods to detect wildfire smoke, dust, and ash exposure will be employed across three consecutive wildfire seasons in the same cohort of BCWS WFFs. The findings from this study will provide new insight into the short and long-term impact of wildland firefighting on cardiorespiratory health. This information will inform guidelines and development of future mitigation strategies to improve long-term health and safety in WFFs.
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How this classification was reachedexpand
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".