Bibliographic record
Abstract
The recent financial crisis starting in 2007–2009 is the longest and the deepest recession since the Great Depression of 1930. The crisis that originated in the US subprime mortgage markets spread and amplified through international financial markets and resulted in severe debt crises in several European countries. Events revealed that the European Union (EU) had insufficient means to halt the spiral of the European debt crisis. The aim of this study is to identify the characteristics of a robust common fiscal policy framework that could have alleviated the consequences of the recent crisis. This is done by using the political and fiscal history of five federal states: Argentina, Brazil, Canada, Germany, and the USA. Our study suggests that a fiscal union is necessary to avoid divergent fiscal policies and we identify five conditions crucial for it to function effectively: (i) a credible commitment to a no-bailout rule, (ii) a degree of revenue and expenditure independence reflecting the preferences of the voters, (iii) a well-functioning European system of transfers in times of distress, (iv) the creation of a euro bond market serviced by taxes collected by the EU government, (v) the ability to learn from and adapt to changing economic and political circumstances. (JEL codes: H10, H70, H73)
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".