Decentralization in European and MENA Countries
Bibliographic record
Abstract
The question considered in this chapter is whether decentralization is likely to hurt or help national unity in “countries at risk.” We begin with a literature review, focusing on three particular questions: the size and number of nations; the determinants of decentralization; and, finally, and bearing most directly on our topic, the links between decentralization and political outcomes. We next set out in capsule form some of the very mixed stories of linkages between decentralization and national unity found in Europe and the Middle East and North Africa (MENA) region, before considering more closely the ongoing discussions of secession in three European countries – Belgium, Spain and the United Kingdom. We conclude that the impact of decentralization on national unity is so complex and context-sensitive that no general answers to our initial question emerge: in some instances, decentralization may be an inducement for regions to stay in a country; in others, however, it may prove to be only a way station on the road to the exit.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".