Work-family conflict and subsequent depressive symptoms among war-exposed post-9/11 U.S. military Veterans
Bibliographic record
Abstract
LAY SUMMARY Veterans may struggle with the conflicts that arise from juggling competing work and family demands after they leave military service. Over time, these feelings of conflict can have a negative impact on their mental health. The current study sought to explore the impact of conflict between work and family roles on war-zone-deployed U.S. Veterans’ depressive symptoms 1.5 years later. Men and women were examined separately. Results showed that when family responsibilities interfered with work responsibilities both men and women had higher levels of depressive symptoms 1.5 years later. However, when work responsibilities interfered with family responsibilities, only men reported higher levels of depressive symptoms 1.5 years later. The current findings support the importance of programs that can help both female and male Veterans readjust to changing life roles when they leave military service. Both types of conflict are modifiable, and these findings suggest the importance of workplace and Veterans Affairs programs that can help military Veterans manage changing responsibilities and demands upon reintegration.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".