Enfrentando o desafio da turbulência global: a posição do Brasil no sistema monetário internacional
Bibliographic record
Abstract
Este artigo investiga a posição do Brasil no atual sistema monetário internacional e oferece uma avaliação crítica da capacidade do Brasil de manter sua trajetória recente de alto crescimento econômico e entrar para o clube das maiores economias do futuro. Com base em dados macroeconômicos, o artigo analisa o desempenho do Brasil na última década e avalia a recente política econômica do governo. A principal conclusão segura é que o Brasil possui um imenso potencial, mas, a fim de utilizá-lo para o benefício da maior parte de sua população, a política macroeconômica não é suficiente. O país precisa urgentemente de mudanças estruturais profundas a fim de aumentar a produtividade e tornar o país mais competitivo. O atual governo deve abandonar a sua política de gestão da procura e da expansão monetária em favor de profundas reformas estruturais. Enquanto o Brasil é abençoado com uma abundância da natureza, os outros fatores de produção, tais como o capital físico e humano, são subdesenvolvidos, como também é o caso com a capacidade de progresso tecnológico do país. Nós usamos o Canadá como um ponto de referência a fim de destacar algumas das deficiências da governança brasileira. _________________________________________________________________________________________ ABSTRACT: This paper investigates the position of Brazil in the current international monetary system and provides a critical assessment of Brazil’s capacity to maintain its recent trajectory of high economic growth and join the club of the five major economies in the future. Based on macroeconomic data, the paper analyzes Brazil’s performance over the past decade and assesses the government’s recent economic policy. The main conclusion holds that Brazil possesses immense potential but in order to make use of it for the benefit of the largest part of its population, macroeconomic policy is not enough. The country urgently needs profound structural changes in order to increase productivity and make the country more competitive. The current government must abandon its policy of demand-side management and monetary expansion in favor of serious structural reforms. While Brazil possesses an abundance of nature, the other factors of production such as capital, both physical and human capital, are underdeveloped as it is also the case with the country’s capacity of technical progress. We use Canada as a point of reference in order to highlight some of the deficiencies of Brazil’s governance.
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.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".