Loving a broken soul: The lived experience perspective on the implications of Veterans’ moral injuries for families
Bibliographic record
Abstract
Research on and investigation of potential implications of moral injury (MI) for Veteran family members remains uncharted territory while its harsh realities play out in their homes. Family members can feel a sense of distance and divide from the Veteran and, as a result, are left on the periphery trying to understand. Many internalize this distance as a reflection of their own worth or the quality of their relationship with the Veteran. Secondary exposure to events through the Veteran can also lead family members to question their own beliefs about the world, humanity, institutions, their loved one, or themselves. One also cannot help but wonder, what do the farther-reaching tentacles of MI grip? What are the potential implications for children's development and their own moral schemas? Could family support and understanding play a vital role in the Veteran's recovery from MI? This article discusses potential implications for family members of Veteran MI from the lived experience perspective of the spouse of a Veteran with posttraumatic stress disorder and MI who has a professional background in the fields of Veteran and family mental health and family peer support.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.028 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".