A Critical Outlook on Combat-Related PTSD: Review and Case Reports of Guilt and Shame as Drivers for Moral Injury
Bibliographic record
Abstract
The model of posttraumatic stress disorder (PTSD) that has been dominant for many years has focused on fear conditioning and anxiety-related symptoms as main drivers of the pathology. Yet, the fear based conceptualization fails to consider the rules of modern combat, the culture of combatants, operational stressors and the moral dimension. Recently there is renewed interest in moral distress and moral injury with a focus on guilt, shame, and anger. Accumulating evidence suggests a link between transgression of moral values and symptoms of guilt and shame, anger, suicidal ideation, and PTSD in military servicemen and veterans. Although proper assessment is still in its infancy, there is a need to better understand how moral decisions can affect the mental health of military personnel at any point during their careers, including postrelease. The authors illustrate this with three clinical case reports. They conclude with a call for attention to the relation between the incurrence of moral injurious distress, and the role of guilt and shame as drivers for chronicity of PTSD. Identifying and addressing these issues can contribute to therapy adherence, facilitate successful progression, and contribute to healing and moral repair and reduce overall symptoms of PTSD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".