Parent-Adolescent Relationships in Military Families Affected by Post-Traumatic Stress Disorder
Bibliographic record
Abstract
The mostly quantitative studies to date on the impact of post-traumatic stress disorder (PTSD) on family functioning have involved comparing veterans suffering from PTSD with other categories of veterans, by examining psychiatric records, administering self-report instruments, and/or conducting structured interviews. This paper augments these findings with a thematic analysis of intensive semi-structured interviews that were carried out in 2009/10 with adolescent children of members of the Canadian Armed Forces (CAF). These adolescents attended the high school in "Armyville," a community that experienced several deployments to Afghanistan between 2002 and 2012. As part of a large, mixed-methods study, we focused on eight of the 17 (out of a total of 61) interview participants who indicated that their fathers or stepfathers had been afflicted with PTSD, in order to explore and discuss the key themes that emerged from their interviews: parental emotional unavailability, parentification, isolation, and school-based extrafamilial support. As illustrated by our interview participants, parentification, being a young carer, and acting out comprise three responses to the destabilizing of family dynamics that often accompanies parental PTSD. We conclude with suggestions for further research and for enhanced school support for adolescents affected by parental PTSD.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".