Purpose after service through sport: A social identity-informed program to support military veteran well-being.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Veterans who transition out of the military often face substantive challenges during their move to civilian life, which include identifying appropriate opportunities for employment, supporting their respective families, and developing high-quality social connections within their civilian lives more generally. The importance of social connectivity, in particular, has recently been highlighted as an important mechanism that can facilitate improved mental health and quality of life among veterans, and represents a viable target for intervention. The purpose of the study was to examine military veterans’ experiences of Purpose After Service through Sport (PASS) which is a sport-based program, in Canada, underpinned by the social identity approach. We recruited participants (Mage= 39.83, SD = 8.07, Myears of service= 15.63, SD = 9.60), and using semi-structured interviews and reflexive thematic analysis, identified several aspects of the program that participants experienced and considered important. These included a variety of positive benefits (mental and physical health, social connections, and access to resources), as well as military identity as a means of supporting social connectivity. Participants also commented on salient environmental features of the program that supported their involvement, as well as suggestions for program refinement. The study provides evidence for the feasibility and acceptability of the PASS program as well as insight into veterans’ experiences of this initiative. Future research should examine the efficacy/effectiveness of the PASS program to support effective transitions and quality of life outcomes among military veterans using causal (e.g., randomized trial) research designs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it