Religion Protected Mental Health but Constrained Crisis Response During Crucial Early Days of the COVID‐19 Pandemic
Bibliographic record
Abstract
This study demonstrates that religion protected mental health but constrained support for crisis response during the crucial early days of the COVID-19 pandemic. Data from a national probability-based sample of the U.S. population show that highly religious individuals and evangelicals suffered less distress in March 2020. They were also less likely to see the coronavirus outbreak as a crisis and less likely to support public health restrictions to limit the spread of the virus. The conservative politicization of religion in the United States can help explain why religious Americans (and evangelicals in particular) experienced less distress and were less likely to back public health efforts to contain the virus. We conclude that religion can be a source of comfort and strength in times of crisis, but-at least in the case of the COVID-19 pandemic-it can also undercut efforts to end the root causes of suffering.
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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 | 0.010 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 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) | 0.000 | 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".