RISCOS PRIMOS: UMA INVESTIGAÇÃO ACERCA DA OCORRÊNCIA E DAS CAUSAS DA CORRELAÇÃO ENTRE O RISCO PAÍS E O RISCO CAMBIAL
Bibliographic record
Abstract
[pt] Esta dissertação estuda o fenômeno da correlação positiva entre o risco país e o risco cambial. A presença deste fenômeno é nociva às economias, pois as torna mais vulneráveis a choques recessivos. O trabalho busca, primeiramente, identificar qual a extensão do fenômeno separando uma amostra de 25 países em dois grupos: os que apresentam correlação positiva entre o risco país e o risco cambial e os que não apresentam. Baseado nesta divisão, em seguida é feita uma investigação de quais seriam os fatores determinantes do fenômeno. Os resultados indicam que o descasamento cambial e o baixo grau de aprofundamento financeiro estão fortemente associados com a presença do fenômeno.
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 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) | 0.003 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.039 | 0.014 |
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; both teacher heads agree on what is shown here.
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".