EU or Euro Area Crisis? Studying Differentiated Integration as an Idea Structuring Elite Perceptions of the Sovereign Debt and the COVID-19 Crisis
Bibliographic record
Abstract
After the sovereign debt crisis, scholars concluded that euro area member states (EAMS) and non-EAMS embarked on diverging paths of integration. Yet, their united response countering the economic consequences of the COVID-19 crisis contradicts the path-dependency argument. This article takes an ideational approach. It demonstrates that the different crisis outcomes regarding differentiated integration (DI) in Economic and Monetary Union (EMU) coincide with variations of how DI influenced elite crisis perceptions as an idea. While policymakers perceived the sovereign debt crisis as a currency area crisis with threats and spillovers applying to EAMS, they interpreted the COVID-19 crisis as a health emergency threatening all EU member states. These differences in elite crisis perceptions facilitated different outcomes regarding DI despite unchanged economic and fiscal circumstances among EAMS and non-EAMS. The findings challenge deterministic assumptions on the self-reinforcing nature of DI in EMU and establish DI as an idea structuring elite perceptions.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".