Characterizing mental, behavioural, and physical health among active duty U.S. sailors and Marines
Bibliographic record
Abstract
LAY SUMMARY Optimal health is critical for military personnel’s performance and readiness. To date, military research on mental and behavioural health has primarily focused on men in the U.S. Army. Indicators of physical health (e.g., blood pressure) and how they relate to mental and behavioural health are also understudied in military populations. To explore the impact of occupational stress and to simultaneously assess different types of health in a more diverse military population, this study evaluated mental, behavioural, and physical health factors in a large group of U.S. Navy and Marine Corps service members that included men and women from various occupational specialties. Military job stress (e.g., time of service, number of deployments) was related to mental, behavioural, and physical health. A more well-rounded approach to health status assessment in large, diverse military populations may support the development of targeted disease prevention strategies.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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".