Mediation of Cognitive Appraisal on Combat Exposure and Psychological Distress
Bibliographic record
Abstract
Applying Cognitive Appraisal Theory (Lazarus & Folkman, 1984 Lazarus, R. S. and Folkman, S. 1984. Stress, appraisal, and coping, New York, NY: Springer Publishing Company. [Google Scholar]), this study sought to determine the mediating effect of cognitive appraisal on combat exposure and psychological distress. A total of 3,002 military personnel completed measures of combat exposure, cognitive appraisal of combat-related events, and psychological distress either during or soon after combat operations in Afghanistan. Bootstrapping was employed to test the mediation model. Cognitive appraisal mediated the relationship between combat exposure and psychological distress, suggesting that the impact of a potentially stressful event on well-being is contingent on one's appraisal of that event. Implications for future research and training are presented.
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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 | 0.002 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".