Understanding Operational Stress Injury Support Services from a Veterans Perspective
Bibliographic record
Abstract
Abstract With the recent combat in Afghanistan, Post Traumatic Stress Disorder (P.T.S.D.) is once again in the public eye. With this it has sparked researchers interested in P.T.S.D. and the experiences of soldiers post combat. However, much of this literature has framed P.T.S.D. as abnormal psychology versus a normal reaction to extreme violence. Further, the literature has concentrated on P.T.S.D. and not explored Operational Stress Injuries. As well, it has been stated that there has been an influx of soldiers and combat veterans seeking social services. This is an exploratory study that examines the narratives of five veterans for their perspectives of operational injury support services. The research is based on an anti-oppressive interpretative social science framework and narrative based qualitative interviews with five veterans residing in Southern Ontario. The findings revealed stories of the veteran’s identity, the emotional impact of war, barriers to seeking treatment and facilitators to accessing services. Each of these veterans spoke about their employment and culture and how this had an effect on seeking services. Many aspects of the veterans’ stories were comprised of stigma and the impact it had on seeking treatment. Condensed with stigma, the structural barriers exacerbate the soldier’s ability to seek culturally appropriate services in a timely fashion. Furthermore, these structural barriers do not solely impact the veterans in one area of their lives but have a ripple effect on all areas. Lastly, these veterans provided explicit service provisions that they believe would assist them and other veterans in the future. Not only do these men believe that individual support is important to them, but supporting their families also seems to be an important aspect of treatment. Even with individual treatment each veteran talked about the importance of peer support, whether it was too informal or formal, and the role of peer support seems vital in a holistic culturally appropriate treatment.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.009 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".