Association between mental health, psychological characteristics, and motivational functions of volunteerism among Polish and Ukrainian volunteers during the Russo-Ukrainian War
Bibliographic record
Abstract
The Russo-Ukrainian War has led to a humanitarian crisis, and many people volunteered to help affected refugees. This cross-sectional survey study investigates the relationships between the psychological impact of participation, coping mechanisms, and motivational functions of volunteering during the Russo-Ukrainian War among 285 Ukrainian and 435 Polish volunteers (N = 720). Multivariate linear regression was used to examine relationships between motivational functions and psychosocial and demographic characteristics. Ukrainian volunteers reported significantly higher Hyperarousal and Avoidance, Depression, Anxiety, and Stress, Problem-focused, Emotion-focused, and Avoidant coping, as well as total scores of Hardiness and Psychological Capital than Polish counterparts. Linear regression analysis found that Impact of the Event Scale results, Coping with Stress, being a female, unemployed, and religious were significantly associated with higher motivational functions. Ukrainian volunteers could significantly reduce negative feelings and strengthen social networks and religious faith by volunteering, while Polish volunteers were significantly more likely to gain skills and psychosocial development from helping others.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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".