Separatism and Regionalism in Modern Europe
Bibliographic record
Abstract
The end of the Cold War opened a Pandora's box of regionalism and separatism across Europe, and today they once again pose a significant threat to the territorial and political integrity of the traditional nation-states. Yet, the existence of various subnational groups is inevitable in democratic states. The scope of separatism and regionalism in Europe is quite wide. It includes de facto states, such as Kosovo, Transnistria, and North Cyprus; strong separatist movements aimed at achieving independence, like Catalonia, Basque Country, Scotland, Flanders, and Faroe Islands; strong movements aimed at achieving a more regional autonomy, for example, Lombardy and Veneto; and weaker regional movements, which could potentially escalate in the future, such as Transylvania in Romania or Vojvodina in Serbia. This edited volume tackles all the above-mentioned regional moments and even includes Greenland as a bonus. It brings together seventeen prominent scholars from a wide range of European and North American academic institutions who compiled ten chapters to shed light on the revival of regionalism and separatism via a thorough evaluation and analysis of some of the most important current separatist and regionalist/autonomist movements across modern Europe. Chris Kostov is an Adjunct Professor in the School of International Relations at IE University Madrid, Spain. He earned his PhD in History and Canadian Studies from the University of Ottawa, Canada. His main academic interests include Balkan and modern European nationalism and Communist repressions in Cold War Eastern Europe.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".