Covid-19 and the Russian Regional Response
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 was the case with other federal states, Russia’s response to the COVID-19 pandemic was decentralized and devolved responsibility to regional governors. Contrary to the common highly centralized governance in Russia, this approach is thought to have helped insulate the government from criticism. Using local research and analysis based on a national representative survey carried out at the height of the pandemic during the summer of 2021, the article charts the public response to the pandemic across Russia. It examines the regionalization of the response, with an in-depth focus on two of the Russian cities with the highest infection rates but differing responses to the pandemic: St. Petersburg and Petrozavodsk. There are two main findings: at one level, the diffusion of responsibility meant little distinction was made between the different levels of government by the population; at another level, approval of the pandemic measures was tied strongly to trust levels in central and regional government.
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 | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.007 |
| 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