Taming inflation: the Brazilian experience of combatting inflation in the last quarter of the 20th century
Bibliographic record
Abstract
In the context of a global inflationary spike, a retrospective view on the problem of curbing inflation in Brazil is becoming more relevant than ever. This paper aims at analyzing the measures of inflation targeting policies set in motion by the Brazilian economic stabilization plans over the last quarter of the XXth century. The commencement of “The Lost Decade” in Brazil negated the achievements of “The Brazilian Economic Miracle” which occurred in the first half of the 1970s: inflation hit an all-time high. The only viable solution that led Brazil out of the crisis proved to be the stabilization plan - named “The Real Plan” - carried out in three phases: fiscal adjustment, transition to the Real Value Unit and emission of a new currency - the Brazilian Real. The authors confine their attention to how Brazilian experience of taming inflation helps the country suppress current inflation surge.
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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 | 0.000 | 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".