Soutien social et santé psychologique de victimes d'inondations
Bibliographic record
Abstract
Social support, coping and psychological health after a flood Two years after serious flooding, a study was conducted involving 177 disaster victims. This article presents the results of analyses aiming to identify the principal factors associated with post-disaster psychological problems by examining mediating or moderating influences of social support and adjustment strategies in the stressor-health link. The results show, within the variables studied, that there are very few significant differences between men and women; however, women did receive more help for evacuation, cleaning, and rebuilding. The results also demonstrate that exposure to the stressor is the greatest contributor in explaining manifestations of post-traumatic stress, while variables like social support and adjustment strategies are more likely to explain the existence of depression symptoms and psychological stress. The analyses also allow conclusions to be drawn about mediating and moderating effects of adjustment strategies in the stressor-health link. In other respects, the observed effects involving social support variables are direct.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".