Welfare States and Covid-19 Responses: Eastern versus Western Democracies
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
Abstract This study uses a welfare state lens to examine disparities in Covid-19 infections and mortality rates between countries in Eastern Europe compared to West European democracies. Expanding on Esping-Andersen’s typology of welfare regimes, the authors compare six country groups to conduct a multivariate statistical analysis that, when controlling for economic and health differences, shows the number of cases and deaths per 100,000 to be significantly higher for Eastern Europe. In comparing First, Second, and Third Wave data, the difference in Covid-19 infections and mortality rates can be explained through stricter lockdown measures implemented in the East at the start of the First Wave. Overall higher numbers in the East reflect comparatively looser state measures in response to the Second and Third Waves as well as the lack of trust in government and the weak implementation of public health measures.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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