Contagious politics and COVID-19: does the infectious disease hit populist supporters harder?
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
As an example of a typical right-wing populist, Jair Bolsonaro downplayed Covid-19 and rejected scientific evidence to address the pandemic. We argue that both his communication style and approach to crisis management had consequences for the behavioural patterns of his followers, which, in turn, had public health implications. Building on survey research, we demonstrate how Bolsonaro’s supporters were less likely to consider the pandemic as a key challenge for the country, less worried about getting infected and less likely to wear masks. We show that this ‘riskier’ behaviour had concrete repercussions. Even after controlling for confounders such as population density, age, education and wealth, municipalities with higher aggregate support for Bolsonaro had higher Covid-19 infection rates in 2020 and saw more people dying from the virus.
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| 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 it