The European Semester as Goldilocks: Macroeconomic Policy Coordination and the Recovery and Resilience Facility
Bibliographic record
Abstract
Abstract How and why did the European Semester end up as the main institutional vehicle of the Recovery and Resilience Facility (RRF)? To what extent did this new set‐up change the power balance among key actors (for example, financial and economic actors versus social affairs actors)? Drawing on historical institutionalism and based on 28 semi‐structured interviews and document analysis, our assessment suggests that while social actors were initially side‐lined and national executives strengthened, over time the pendulum is swinging back. The usual actors are strategically using the institutional structures of the revised Semester as a vehicle to ‘have a say’ in the RRF. Having more carrots and sticks suggests further strengthening the pivotal role of the European Commission. Yet having the option of submitting national plans gives member states options too. The EU institutional response to the Covid‐19 pandemic built on, and further cemented, the EU's socio‐economic governance architecture.
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".