A narrative study of the spouses of traumatized Canadian soldiers
Bibliographic record
Abstract
The purpose of this study is to provide an inclusive portrait of the experience of female spouses living with traumatized male Canadian soldiers healing from Post-Traumatic Stress Disorder (PTSD). By facilitating the articulation of the spouses' stories this research gives a voice to and fosters appreciation for this neglected population. As well, this study helps clarify the needs and possible therapeutic interventions for spouses of soldiers in psychotherapy for PTSD. Although recently there has been an increased focus on addressing PTSD in soldiers, there has been comparatively little research and clinical attention given to the soldiers' families. For this study, in-depth interviews were conducted with six spouses of former peacekeeping Canadian soldiers who received group therapy for PTSD. Using the Life Story interview method, a spontaneous picture of the spouses' experiences was elicited as part of a comprehensive relationship narrative. This provided the opportunity for understanding the experience of living with a soldier in treatment for PTSD within a couple relationship and larger social context. Narrative summaries were created from the interviews and follow-up was conducted with each participant to gain feedback on these narratives. Participants were also given the opportunity to read each other's narratives and discuss their impressions. The narrative summaries are presented along with thematic results. The participants' stories revealed instances of aggression, primary trauma and problems related to their husbands' periods of alcohol abuse, so Figley's model of Secondary Traumatic Stress was not the best conceptual fit to explain the experiences of these women. Limited support was found, however, for Hobfoll's (1998)model of a loss spiral to help describe the descent into chronic disability associated with combat-related PTSD as well as the difficulties soldiers experience in their transition from military service. This study's implications for practice include recommendations for groups for military spouses; the need to address the iatrogenic suffering of soldiers and their spouses; treatment recommendations for soldiers with PTSD. Future research also needs to include delivery and evaluation of a group-based counselling intervention for the spouses of traumatized soldiers.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".