GUERRA DO BRASIL À COVID-19: CRISE E NÃO CONFLITO—MÉDICOS E NÃO GENERAIS: BRAZIL’S WAR ON COVID-19: CRISIS, NOT CONFLICT—DOCTORS, NOT GENERALS
Bibliographic record
Abstract
This commentary first documents the ways in which President Jair Bolsonaro’s administration has evoked securitized discursive strategies that frame Brazil’s national response to COVID-19 as a matter of defense instead of public health. We then ask: What does it mean to talk about the virus and the ways to address it through war-framings? We argue that the Bolsonaro administration has framed the COVID-19 pandemic as an extra-territorial threat in an effort to create internal stability while failing to handle the matter effectively. Such politically motivated spatial framings inhibit an effective response in Brazil and pose a severe threat to public health. Once COVID-19 becomes securitized, the response is framed by the military bureaucracy rather than public health authorities, resulting in dangerous consequences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".