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Record W2783288926 · doi:10.1515/ecfr-2017-0025

(BR)EXIT from the EU

2017· article· en· W2783288926 on OpenAlexaboutno aff
Julia Told

Bibliographic record

VenueEuropean Company and Financial Law Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Governance and Law
Canadian institutionsnot available
Fundersnot available
KeywordsMember statesMember stateState (computer science)European unionPolitical scienceOrder (exchange)LawLaw and economicsBusinessInternational tradeEconomicsComputer science

Abstract

fetched live from OpenAlex

The United Kingdom (UK) has voted to leave the European Union (EU). Ever since the deficiencies of Art. 50 TEU allowing for an exit from the EU (‘Exit’) have caused legal uncertainty. This article intends to shade light on the main questions causing this uncertainty: In a first main part it elaborates on the requirements to be met in order to invoke Art. 50 TEU. As of now, it is discussed highly controversially if a notification pursuant to Art. 50 TEU is conditional upon the compliance with national constitutional requirements and if such a notification can be unilaterally revoked. It is found that national constitutional requirements have to be met before Art. 50 TEU can be invoked and that a notification is not unilaterally revocable. Furthermore, this part elaborates on the requirements for the conclusion of an Exit-agreement as well as the consequences of an Exit without an Exit-agreement. The second main part of the article shifts perspective to potential future legal relations between a former Member State and the EU. It structures possible legal consequences by classifying four different scenarios: (1) No Exit, (2) Exit and the former Member State remaining member of the EEA on the side of EFTA, (3) Exit and bilateral approach compared e. g. to Switzerland, Turkey or Canada (4) Exit and no more direct legal connections between the EU and the former Member State besides multilateral international treaties. In a third part these scenarios are tested on their legal consequences in certain areas of law most of them relating to European business law. Of course, this article can by no means address all affected areas of law and had to make a choice.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.038
GPT teacher head0.228
Teacher spread0.189 · 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 teacher head, not a consensus.

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

Citations5
Published2017
Admission routes1
Has abstractyes

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