Resilience under protracted conflict and siege: a new paradigm shift
Bibliographic record
Abstract
This study sought to explore the relationship between resilience as perceived within the Palestinian context, and individual, contextual, and psychosocial factors among adults living in the Gaza Strip. Secondly, this study applies the Connor-Davidson Resilience Scale to the Palestinian population within the context of the challenges they are facing while living under extended sieges, in order to examine the generalizability of the resilience scale. Gender-specific bivariate analyses and multivariate linear regression were conducted to examine links between resilience, and diverse psychosocial and contextual factors. Males scored higher in resilience than females. Consistent predictors of higher resilience included, being male, employed, income, not living in a peaceful area, higher life satisfaction, and the Palestinian idea of resilience (Sumud). For the overall sample and males, hardiness was a positive predictor of higher resilience. For the overall sample and females, post-secondary education was a positive predictor of resilience. Psychosocial factors may act synergistically to foster resilience in the face of adversity, low socioeconomic status, and fear of living in a non-peaceful area. Our findings add to a limited body of literature calling for attention to contextual and psychosocial influences on gender differences in measuring and defining the dynamic nature of resilience.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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; both teacher heads agree on what is shown here.
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".