Bibliographic record
Abstract
The book focuses on four key themes that are central to the ethics of secession. The first examines the application of ‘choice’ and of remedial ‘just cause’ normative arguments on secession. The second discusses the problem of violence in secessionist struggles and the ensuing relationship between just war theory and the ethics of secession. The third problem is the relationship between nationhood and citizenship, and, in particular, the question of applying what has now become a conventional distinction between ethnic and civic representations of the political community. Finally, the contentious issue of sovereignty and the way that it frames debates about self-determination is analysed. Theoretical debates about secession are interwoven with 10 case studies (Italy and the Lega Nord, Corsica, Cyprus, Ireland, Yugoslavia, Tatarstan, Chechnya, Abkhazia, Taiwan, and Quebec) to provide an original analysis of the normative and empirical issues raised by contemporary secessionist struggles.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".