Examining the associations among moral injury, difficulties with emotion regulation, and symptoms of PTSD, depression, anxiety, and stress among Canadian military members and Veterans: A preliminary study
Bibliographic record
Abstract
LAY SUMMARY Moral injury (MI) refers to the distress experienced when people do, or do not, do something that goes against their morals or values. It can also occur when people perceive that their values have been betrayed. MI is associated with several mental health conditions, including posttraumatic stress disorder (PTSD), depression, and anxiety. A potential risk factor for MI may include difficulties with emotion regulation (ER). Difficulties with ER refers to the ability to manage emotions. It is associated with the same mental health conditions linked to MI, including PTSD. The purpose of this study was to examine whether difficulties with ER were associated with MI in a Canadian military personnel and Veteran sample. Participants completed several questionnaires assessing for MI, difficulties with ER, and other mental health symptoms, such as PTSD, while they were inpatients at a psychiatric hospital. It was found that MI and perceived betrayals were associated with symptoms of PTSD. Symptoms of PTSD, depression, and anxiety were also associated with one another. Difficulties with ER were also associated with symptoms of PTSD, depression, and anxiety but were not related to MI. The findings serve as a first step in examining potential risk factors of MI.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".