Euro adoption policies in the second decade – the remarkable cases of the Baltic States
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The second decade of Economic and Monetary Union (EMU), starting with the financial crisis morphing into the sovereign debt crisis, had diverging effects on member states. The Baltic States were hit particularly hard. Faced with an immediate collapse of their economies, the Baltic States were advised by international organisations to float their currencies; instead, these countries chose to speed up their commitment to join the euro including the choice to keep the exchange rate fixed. Why? In this paper, we argue that the main reason for this decision needs to be found in the domestic politics of these three Baltic States. The domestic actors we look at include, among others, monetary authorities, government and opposition. Even when faced with strong international criticism, the three Baltic State governments chose their own path, which in this case included continuing their planned euro adoption policies even in the face of costly domestic adjustments.
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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 | 0.001 |
| 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 it