God and the Jab: Religion is Associated With COVID-19 Vaccinations Rates in England
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Religious areas were predicted to be negatively associated with COVID-19 vaccinations. Using public data on religion and vaccination rates within local authorities in England, support for the hypothesis was found. All major religious groups within England (i.e., Christianity, Buddhist, Hindu, Jewish, Muslim, Sikh, and “other” religious groups) were negatively associated with COVID-19 vaccination rates. Effects were stronger for Muslim and Christian areas than areas with other religious groups. Effects were not due to wealth, household size, mobility, or age. These results suggest that religious regions in general and regions with Muslims and Christians in particular are negatively associated with COVID-19 vaccination rates. These findings can be used as a guide for future research and to help inform vaccination efforts.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| 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 it