Measuring Resilience to Operational Stress in Canadian Armed Forces Personnel
Bibliographic record
Abstract
Adaptability to stress is governed by innate resilience, comprised of complex neuroendocrine and immune mechanisms alongside inherited or learned behavioral traits. Based on their capacity to adapt, some people thrive in stressful situations, whereas others experience maladaptation. In our study, we used state-of-the-art tools to assess the resilience level in individuals, as well as their susceptibility to developing military stress-induced behavioral and cognitive deficits. To address this complex question, we tested Canadian Armed Forces (CAF) personnel in three distinct stress environments (baselines): during predeployment training, deployment in Afghanistan, and readjustment upon return to Canada. Our comprehensive outcome measures included psychometric tests, saliva biomarkers, and computerized cognitive tests that used the Cambridge Neuropsychological Automated Test Battery. Participants were categorized based on initial biomarker measurements as being at low-, moderate-, or high stress-maladaptation risk. Biomarkers showed significant changes (ds = 0.56 to 2.44) between baselines, calculated as "delta" changes. Participants at low stress-maladaptation risk demonstrated minimal changes, whereas those at high stress-maladaptation risk showed significant biomarker variations. The psychometric patterns and cognitive functions were likewise affected across baselines, suggesting that the panel of saliva stress biomarkers could be a useful tool for determining the risk of stress maladaptation that can cause psychological and cognitive decline.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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 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".