Bibliographic record
Abstract
This essay explores the fear of secession in two different context: the exit of a member State from EU and the secession of a territorially concentrated group from a member State of the EU. The case of the recent Brexit and the crisis in Catalonia are taken as case studies to comprehend theoretically which secession could «constitute» EU as a Federation. In the second part, I exemplify how from the international perspective secession can be considered as an «ultimate right» and that if one can talk of such a thing as legality when referring to secession that can be done only in the sense of a liminal legality: a legality that reside in the border area between the internal and the international legal order. In the last part of the essay, I shall try to use Catalonia as test to evaluate both the opinion of the International Court of Justice on Kosovo and the famous Reference of the Canadian Supreme Court on Quebec. In the conclusion of the essay, I will also verify if Catalonia can be read through the lens of the Just-Cause Theories of Secession.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 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".