Diversified Economic Governance in a Multi-Speed Europe: a Buffer against Political Fragmentation?
Bibliographic record
Abstract
As it turns 60, the European Union appears engulfed in a crisis. In response to this, political actors have recently advocated a multi-speed Europe. A metaphor for the central idea is the integration highway: since member states are already moving with different speeds, countries need to be separated into different lanes to avoid a major accident. Although the idea of a multi-speed Europe has been criticised as an abatement of the initial dream of simultaneous European integration, this commentary views it as a realpolitik that will allow for greater flexibility in decision-making at times when a fast response to financial, humanitarian and security challenges is imperative. To illustrate this, a scenario is presented on how a multi-speed Europe policy can be applied within the Eurozone to shape two parallel common currency zones. A meticulous application of the multi-speed Europe principle to the Eurozone could address the shortcomings of the initial monetary integration plan and protect the long-term interests of the continent and beyond.
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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 | 0.004 | 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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 teacher head, 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".