Comparing the influence of intellectual humility, religiosity, and political conservatism on vaccine attitudes in the United States, Canada, and the United Kingdom
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
Three studies of US, Canada, and UK respondents examined pro-vaccine attitudes as predicted by intellectual humility, belief in science, religiosity, and political attitudes. Intellectual humility refers to the capacity to understand limits of one's own beliefs and showed strong relationship to pro-vaccine attitudes across samples. Pro-vaccine attitudes were correlated with intellectual humility and negatively correlated with political conservatism and religiosity. Regression models compared overlapping influences of belief predictors on vaccine attitudes. Across countries, intellectual humility was the most consistent predictor of pro-vaccine attitudes when controlling for other beliefs and thinking styles (political conservatism, belief in science, religiosity). In comparison, political conservatism was a significant predictor of vaccine attitudes in regression models on US and Canadian respondents, and religiosity only held as a predictor in regression models in the US sample. We conclude with a discussion of intellectual humility as a predictor of vaccine attitudes and implications for research and persuasion.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| 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 it