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Record W2897236639 · doi:10.1002/iir.1325

Recognition of UK Insolvency Proceedings Post‐Brexit: The Impact of a ‘No Deal’ Scenario

2018· article· en· W2897236639 on OpenAlexvenueno aff
Christopher Umfreville, Paúl Omar, Heike Lücke, Irene Lynch Fannon, Michael Veder, Laura Carballo Piñeiro

Bibliographic record

VenueInternational Insolvency Review · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Insolvency and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsBrexitInsolvencyEuropean unionMember statesPolitical scienceMember stateEconomicsLaw and economicsInternational tradeBusinessLaw

Abstract

fetched live from OpenAlex

Abstract This paper examines the impact of a ‘no deal’ or ‘hard’ Brexit on the recognition of insolvency proceedings commenced in the UK by the remaining Member States of the European Union (EU) post‐Brexit. The paper considers the framework currently implemented by the Recast European Insolvency Regulation and the possible approaches when it will cease to apply to proceedings commenced post‐Brexit. The paper identifies that there will be no overarching framework in the event that ‘no deal’ is reached between the UK and the EU for post‐Brexit arrangements, resulting in reliance on individual Member States' domestic laws to determine recognition of insolvency proceedings commenced in the UK. The paper sets out the contrasting approaches of five of the UK's key trading partners in the EU: France, Germany, Ireland, the Netherlands and Spain. The paper concludes that UK insolvency proceedings will not be recognised in a consistent manner in these Member States, which will be detrimental to stakeholders in, and ultimately the economies of, the UK and these Member States. In doing so, the paper underlines the importance of an agreement being reached between the UK and the EU on the recognition of cross‐border insolvency proceedings for the benefit of all parties. Copyright © 2018 The Authors International Insolvency Review published by INSOL International and John Wiley & Sons Ltd.

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)0.001
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.291
Teacher spread0.252 · 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 designObservational
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

Citations4
Published2018
Admission routes1
Has abstractyes

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