‘Brexit’ and International Insolvency Beyond the Realm of Mutual Trust
Bibliographic record
Abstract
Abstract The outcome of the referendum held in the UK in June 2016 is of far‐reaching and unpredictable consequences. This article focuses on the particular field of international insolvency with a view to identifying some of them, all arising out of the fact that the UK will be leaving the EU area of justice and the strong cooperation based on mutual trust between member states. This will make UK–EU insolvency cases clearly less efficient and effective. The consequences of Brexit could be mitigated by the already existing coordination among the international instruments dealing with these matters, in particular the European Insolvency Regulation and the UNCITRAL Model Law on Cross‐Border Insolvency. However, not all EU member states have in place rules dealing with these issues as regards to third states. In order to lessen the impact of Brexit in this sensitive area of law, the implementation of the Model Law in order to deal with extra‐EU cross‐border insolvency could be of avail. Copyright © 2017 INSOL International and John Wiley & Sons, Ltd
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".