Breaking Ranks: How Medically Released Canadian Military Veteran Men Understand the PTSD Diagnosis
Bibliographic record
Abstract
This paper examines posttraumatic stress disorder (PTSD) among veterans through the lens of hegemonic military masculinity (e.g., emotional toughness, strength, courage) as the overarching social ecology of military life in which mental distress is experienced by service members. Three themes emerged from a focus group with medically released Canadian veteran men: (a) PTSD as a medically decided injury among male soldiers reporting mental distress is experienced as more than an individual or medical problem, but as a social problem—a form of “breaking ranks” with fellow soldiers; (b) the PTSD diagnosis creates intrapersonal and interpersonal dilemmas for medically released veterans that are directly a result of hegemonic military masculinity norms; and (c) veteran efforts to restore accepted masculinity, including resistance to a PTSD label, underpin their relationships with veteran peers and family members. We argue that applying a medical diagnosis of PTSD ignores the social ecology of military life and further erodes treasured masculinized identities among distressed service members. By recasting them as injured patients, male soldiers are separated from accepted demonstrations of masculine agency in re-establishing themselves as worthy members of the military institution. The analysis of veteran men’s first-hand narratives speaks to the importance of understanding military/veteran PTSD diagnoses within the gendered social ecology of military life. The results of this study can facilitate an understanding of how hegemonic military masculinity, medical regulatory policies, and relational and individual processes within the military interact to shape experiences of injury for military and veteran men.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.009 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".