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Record W7075300361

PERCHE LA SECESSIONE FA PAURA? UN AGGIORNAMENTO SU «L’ULTIMO DIRITTO»

2017· article· it· W7075300361 on OpenAlexaboutno aff

Bibliographic record

VenueIRIS Research product catalog (Sapienza University of Rome) · 2017
Typearticle
Languageit
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSecessionPrinciple of legalityState (computer science)LiminalityBrexitInternational courtMember stateEconomic Justice
DOInot available

Abstract

fetched live from OpenAlex

Why is secession’ frightening? An update on «the ultimate right» 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 Québec. 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.009
Scholarly communication0.0110.006
Open science0.0010.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.002

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.

Opus teacher head0.100
GPT teacher head0.301
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueIRIS Research product catalog (Sapienza University of Rome)Same topicDiverse Scientific and Economic StudiesFrench-language works237,207