COVID-19 как вызов политической системе и демократии в России и мире
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
The COVID-19 pandemic is unfolding at a time when the political system inherent in the last quarter of the 20th – the first decades of the 21st century, with democracy as the key component, is in decline. According to data compiled by Freedom House, democracy has been in a recession for more than a decade, and more and more citizens in different countries, including recognized leaders of democracy, lose and not get civil and political rights every year. The key problem is that COVID-19 could turn a democratic recession into a depression, which threatens to turn political systems toward authoritarianism, the spread of which around the world can be compared to a modern pandemic. The question arises if autocratic regimes generally are able to take tougher political measures to curb the spread of the virus. If so, are they more effective or China is an exception? This article is written as part of the state task on the topic of the NIR for 2019–2021 «Russian Society before New Challenges: Dynamics of Social and Economic Situation, Value Orientations and Social Participation of Various Population Groups».
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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.009 |
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