An Introduction: “Macroeconomic Policy Coordination and Domestic Politics: Policy Coordination in the EU from the European Semester to the Covid‐19 Crisis”*
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
Abstract The Next Generation EU (NGEU) and the Recovery and Resilience Facility (RRF) encompassed the European Semester. To understand how and why this happened we apply different theoretical approaches so as to emphasize different aspects of this process. The contributions in this collection discuss three main questions: (1) Is the Semester successfully implemented in the domestic arena? (2) Do domestic institutions and stakeholders play a crucial role in the success (or lack thereof) of the Semester? (3) What lessons can we learn from past economic policy coordination for the challenges ahead? In answering these questions, one's lens needs to be focused at both the EU and the domestic levels. Various factors play a role: solidarity, mutual understanding, relations between the ‘South’ and the ‘North’, questions about democracy, the rule of law, the interaction between economic and social issues, and even the need to address the climate crisis (the Green Deal).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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