Experiences of military sexual assault, PTSD, and participation in life activities among Canadian women Veterans
Bibliographic record
Abstract
Introduction: International research demonstrates that military sexual assault has far-reaching effects on the daily lives of women Veterans. The purpose of this study was to describe the impact of military sexual assault and subsequent posttraumatic stress disorder (PTSD) on participation in daily life activities among Canadian women Veterans. Methods: A qualitative exploratory study was based on interviews with 12 Canadian women Veterans purposively selected from a larger sample of 70 and on low participation scores. Qualitative interview data were analyzed using both inductive and deductive coding. Results: Participants identified five daily activities they struggled with: being out in public, relationships, starting the day, self-care, and productivity. Participants attributed these difficulties to known consequences of sexual assault, such as depression and substance misuse, and symptoms of PTSD, such as hyper-vigilance and flashbacks. In addition, they volunteered that their trauma had been exacerbated and their recovery had been delayed by feeling targeted, held back, bullied, and betrayed. They attributed these feelings to the military's hierarchical culture. Discussion: This study emphasizes the difficulties women Veterans had many years later as they struggled at work, relationships, and community participation. Participants volunteered that they felt betrayed by peers, superiors, and Canadian Armed Forces administration. This further diminished their capacity to trust others, maintain relationships, and venture out into public places.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".