The Correlation Between Religiosity and Death Anxiety During the COVID-19 Pandemic in Palestine
Bibliographic record
Abstract
Previous studies have demonstrated that religiosity may be a predictive factor for anxiety related to death among adults amid the COVID-19 pandemic; however, current study variables have not been examined among Palestinians. This correlational study was the first to test the association between religiosity and death anxiety among Palestinians in the middle of the COVID-19 pandemic. Sample data consisted of 548 Palestinian adults. Data was collected through online advertisements, e-mail, and social media campaigns. Findings confirmed that death anxiety negatively correlated with religiosity (r = −.31, p<0.01). Regression analysis for predicting anxiety related to death determined that religiosity accounted for statistical and significant variance in death anxiety (B= −.191, SE=.040, β=−.20). It is recommended that further studies be conducted to explore the correlation between our current study variables and other related variables. This study also recommends the development of intervention programs to decrease death anxiety during pandemics or crises and enhance the protective factors of individuals.
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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 | 0.001 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".