Beyond delegation: transnational regulatory regimes and the eu regulatory state
Bibliographic record
Abstract
This article investigates the allocation of regulatory authority in the EU. By introducing the concept of a ‘regulatory regime’, it criticizes not only earlier accounts of the EU ‘regulatory state’, but also current delegation approaches. As a starting point, it identifies a dilemma for the EU regulatory policy. Despite the rising need for uniform EU-level rules in the internal market, the bulk of formal powers and the institutional focus of regulatory activities continue to be located at the national level. This results in a supranational regulatory gap. Our thesis is that this gap is partly filled by transnational regulatory networks. Under certain conditions, regulatory networks offer a back road to the informal Europeanization of government regulation. However, the informalization of governance is vulnerable to strong distributive conflict, and, if effective, it raises unresolved problems of democratic legitimacy.
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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 | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.031 |
| Scholarly communication | 0.011 | 0.012 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".