The Relationship Between Perceived Organizational and Cultural Support and Soldiers' Post-Deployment Symptoms
Bibliographic record
Abstract
The first few months after returning home, soldiers are adjusting to being back with their family, in garrison, and in their home country. Are factors such as perceptions of a supportive organization or society able to make this transition a little easier? This research sought to address this issue by assessing the impact of perceived organizational support (i.e., unit, Canadian Forces, Canadian Government) and perceived cultural support (i.e., Canadian society) on post deployment symptomatology. Two main hypotheses were assessed in this research. The first was whether greater amounts of perceived support (both organizational and cultural) were related to lower levels of post-deployment symptoms, irrespective of the amount of stress experienced (i.e., the Main-Effect Hypothesis). The second, alternative hypothesis was that greater amounts of perceived organizational and cultural support would reduce reports of symptoms, but only at higher levels of stress (i.e., the Stress-Buffering Hypothesis). Soldiers completed a questionnaire package within two months after returning from a deployment in Bosnia. Neither the main effect, nor the stress-buffering effect was supported. However, greater amounts of perceived work stress and combat stress were associated with the experience of higher levels of post-deployment symptoms in this sample.
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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 | 0.000 | 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".