The Influence of Mental Skills on Motivation and Psychosocial Characteristics
Bibliographic record
Abstract
The purpose of this observational, cross-sectional study was to assess psychosocial characteristics and intrinsic motivation in a convenience sample of Army soldiers with different mental skills profiles. Participants were recruited immediately before or immediately following regular training activities. Anonymous surveys were completed and collected in the training area. Instruments used in this study included the Ottawa Mental Skills Assessment Tool-3 Revised for Soldiers; Rosenberg Self-esteem Scale; Depression Anxiety Stress Scale-21; University of California, Los Angeles, Loneliness Scale; Beck Hopelessness Scale; Intrinsic Motivation Inventory; and an anger measure. Soldiers with strong mental skill profiles were more intrinsically motivated and psychosocially healthier than their peers with weaker mental skill profiles. It is recommended that a proactive approach to psychological health promotion practices in soldiers be sought rather than reactive treatment plans to psychological sequelae. Future research must examine the role of psychosocial fitness and adaptability to enhance mental skills fitness.
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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 | 0.000 | 0.003 |
| 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 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".