An Exploratory Investigation of Relationships Among Mental Skills and Resilience in Warrior Transition Unit Cadre Members
Bibliographic record
Abstract
Warrior transition unit (WTU) cadre members are exposed to a variety of stressors that put them at risk for adverse conditions and events. Resilience may be a construct capable of moderating some of these potential negative outcomes. In turn, mental toughness is a concept associated with resilience that may provide a unique framework from which to train resilient behavior. This article explored associations between resilience and several mental skills that are assumed to be related to mental toughness, in a sample (n = 27) of WTU cadre members in the U.S. Army. Instruments included the Ottawa Mental Skills Inventory (OMSAT-3) and the Resilience Scale (RS). Both cognitive mental skills and emotion management skills were positively associated with resilience. Results also indicated a model specifying emotion management as a mediator of the relationship between cognitive skills and resilience was consistent with the study data.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".