The Unforeseen Theory and Public Crisis Management in Brazil
Bibliographic record
Abstract
In exceptional situations, circumstances erupt that impact this predictability, instigating the daily routine, such as the occurrence of the pandemic generated by COVID-2019. In such cases, the exceptionality of the context must be accompanied by the exceptionality of the measures that, with extreme urgency, must be adopted, in order to amortize as much as possible, the negative effects arising from it. Considering this scenario, this article aims to analyze the theory of unpredictability within the scope of public management in Brazil. Initially, it addresses the unforeseen, based on the act of God and force majeure, followed by the examination of the unforeseen in relation to proportionality. Then, it addresses the theory of unpredictability and the clause rebus sic stantibus, and the unpredictability in times of pandemic, to then address the political, economic, and legal measures adopted in Brazil.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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 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".