Nationalism and the strength of secessionism in Western Europe: Static and dynamic autonomy
Bibliographic record
Abstract
Contrary to the dominant expectations of the late 20th century, secessionism surged in two West European minority national communities, Catalonia and Scotland, over the last decade. Yet, in two others enjoying similar degrees of autonomy, Flanders and South Tyrol, secessionism did not gain strength. This outcome suggests that focusing on the degree of autonomy afforded to minority national communities is misplaced. This article shows that the nature of autonomy is more important than its degree for understanding the strength of secessionism. It demonstrates that the key to autonomy regimes weakening secessionism is their capacity to adjust and expand over time. Dynamic autonomy staves off secessionism while static autonomy stimulates it. The article is based on a controlled comparison of, on the one hand, Catalonia and Scotland, where autonomy regimes have been mostly static during key periods of time, and, on the other hand, Flanders and South Tyrol, where they have been dynamic.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".