Regionalization and the Transformation of Policies, Politics, and Polities in Europe
Bibliographic record
Abstract
Abstract Occasionally, regions make front‐page news. From Wallonia holding‐up the EU–Canada trade deal, to Catalonia and Scotland seeking independence. However, beyond these attention‐grabbing events, more fundamental transformations have taken place, away from the media spotlight and sometimes also under the (theoretical and empirical) radar of scholarly work. This article highlights that the more gripping events making the headlines are only the tip of the iceberg. They belie a rather peaceful and calm process of regionalization of our political systems. Functional, community, and identity logics have driven this process. It has significantly affected all dimensions of the policy‐politics‐polity triptych. We encourage scholars to break free from the shackles of methodological nationalism. Engaging in multi‐level analysis is cognitively taxing. However, it is well worth the investment. The state is not independent from developments at the sub‐ and supra‐state levels. Modelling interdependence is challenging, but it is empirically and theoretically rewarding.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".