A Comparison of the Authoritarian Strategies Used by Brazil and Turkey to Tackle the COVID-19 Crisis
Bibliographic record
Abstract
For authoritarian-minded leaders, the COVID-19 crisis offered a convenient pretext to silence critics and consolidate power. Populist and autocratic leaders used the crisis as an excuse to do things they had long planned to do but had not been able to. Using a narrative literature review, this study examines the authoritarian responses to COVID-19 in Brazil and Turkey between 2020 and 2021. Available articles were retrieved from Medline and Google Scholar using a non-systematic approach using inclusion and exclusion criteria. Major identified authoritarian responses were imprisoning human rights defenders, journalists, lawyers, political activists, and medical professionals; flaunting public health and human rights laws; blaming other countries for causing the pandemic; and underreporting COVID cases. The study concludes that these actions had devastating consequences for democracy, human rights, and public health.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".