Bibliographic record
Abstract
The controversial issue of secession has received little attention from experts of federalism. The best federal studies either evade it or dismiss it in a few lines. However, the issue of secession has been present throughout the history of federations. This book is one of the first to explore the complex relationship between federalism and secession. The authors whose work is presented here recognize the potential of federalism as a way to organize relations between several different states, peoples, nations or territories under the same government. However, they are not naïve or idealist about the ability of the federal idea to succeed in the complex situations in which it is applied. In some cases success seems assured (the United States, Switzerland, Germany, etc.), and the merits of federalism can be showcased. But there are also failures (the former Yugoslavia, or more recently Brexit) and semi-failures that have generated turbulence in recent years in devolutive systems (Scotland in the United Kingdom, Catalonia in Spain) or federative systems (Québec in Canada). This book provides a nuanced portrait of the issue of secession in federal contexts and lays the groundwork for questioning the still too fragile legacy of the great thinkers of federalism.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.769 | 0.979 |
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; both teacher heads agree on what is shown here.
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".