Evaluation of a Third-Location Decompression Program for Canadian Forces Members Returning From Afghanistan
Bibliographic record
Abstract
BACKGROUND: Service members returning from combat can experience difficulty adapting to home life. To help ease this transition, the Canadian Forces provides a Third-location Decompression (TLD) program in Cyprus to members returning from deployment to Afghanistan. METHODS: The 5-day program consists of individual free time, structured recreational activities, and educational programming. Its perceived value and impact were measured immediately afterward and 4 to 6 months later. RESULTS: Respondents overwhelmingly supported the TLD concept, with 95% agreeing that "some form of TLD is a good idea." Eighty-one percent of participants found the program valuable, and 83% recommended it for future deployments to Afghanistan. Perceived value persisted 4 to 6 months after return, and 74% felt that it helped to make reintegration easier for them. CONCLUSION: Canadian Forces members saw value in the TLD program, and most members believed that the program had its intended effect of making the reintegration process easier for them.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".