Crises económicas: génese, impacto, e consequências na economia portuguesa
Bibliographic record
Abstract
O presente estudo tem como propósito caraterizar as principais causas e consequências das crises económicas na Economia Portuguesa de forma a ajudar e informar os stakeholders que necessitam de tomar decisões em contextos económicos particularmente desafiantes. Para apurar tais causas e consequências é realizada uma análise comparativa dos indicadores económicos entre as grandes crises financeiras através do cálculo do R ajustado, permitindo uma reflexão sobre a relação entre os mesmos nos diferentes momentos de crise. Para identificar o momento em que as recessões começaram e acabam, é tomado como referência principal o seguinte conjunto de indicadores: o produto interno bruto, o desemprego, taxa de inflação e índice de confiança.
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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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.008 | 0.006 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.004 | 0.007 |
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".