A Missed Opportunity: The Fundamental Rights Agency and the Euro Area Crisis
Bibliographic record
Abstract
Abstract This paper focuses on the role played by the Agency for Fundamental Rights in the wake of the euro area crisis. The Agency was created as part of a wider trend towards a broader, more pro‐active strategy for the protection of fundamental rights that includes administrative and political rights promotion as a complement to judicial enforcement. In the context of the euro crisis, however, the Agency has not been able to fulfil this role. This paper will analyze the reasons for this missed opportunity, as well as its consequences. It will argue that the sidelining of the Agency in this area is due to the confluence of two factors: on the one hand, the Agency's lack of discretion in setting its own agenda; and, on the other, the predominance of the executive, and resulting resurgence of intergovernmentalism, that have been a feature of post‐crisis developments. Ultimately, this paper argues that the sidelining of the Agency in this context is an unfortunate result, given the magnitude of the political debate in this area and the valuable role that the Agency might have played or could still play in informing it.
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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 | 0.008 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.006 | 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".