Belief in Science and Beliefs about COVID-19: Educational Gradients
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
Prior research has attributed the socio-economic disparity in COVID-19 infections to differences in degrees of exposure or economic resources. This study proposes beliefs about COVID-19 as a potential additional explanation. We conducted a nationally representative US survey with six measures of COVID-19 beliefs. Socio-economic status was measured through educational level. Compared with less-educated respondents, highly educated respondents treat COVID-19 more seriously, including believing in (1) face mask use, (2) asymptomatic transmission, (3) media non-exaggeration, (4) the necessity of stay-at-home orders, (5) a likelihood of themselves being infected with COVID-19 and (6) no protection of God against COVID-19. The educational gradient in COVID-19 beliefs was largely explained by differential levels of belief in science across education. Our findings suggest that encouraging public trust in science can potentially reduce the educational gradient in COVID-19 infections in the USA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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