Veterans and the Outward Bound Experience: An Evaluation of Impact and Meaning
Bibliographic record
Abstract
Abstract Adventure training has been used for nearly 40 years in North America to support combat veterans in addressing psychological impacts and transition challenges related to their military deployment experiences. A host of social, psychological, and treatment outcomes have been demonstrated utilizing wilderness-based adventure courses for veterans struggling with operational stress injuries and transition issues (Ewert et al., 2010; Hyer et al., 1996; Ragsdale et al., 1996). This paper reports on a mixed-methods evaluation of veterans' courses run by Outward Bound Canada, which assesses learning outcomes and articulates the subjective meaning of course experiences for participating veterans. Results from the Outward Bound Outcomes Instrument show significant increases from pre-course to 6 weeks post-course (N=50) on nine psychosocial constructs. Additionally, themes emerging from semistructured interviews with 12 participants from the sample brought voice to the impact, personal growth and change exp...
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".