The Inherent Power of Common Law Courts to Provide Assistance in Cross‐Border Insolvencies: From Comity to Complexity
Bibliographic record
Abstract
Abstract The weighty and difficult issues associated with cross‐border insolvency have generated considerable debate over the last two decades. Legislative reform has typically proven slow and fragmented. This article analyses the inherent power of common law courts to grant assistance in cross‐border insolvency proceedings and the basis on which the inherent power is exercised. In doing so, it seeks to explore how the inherent power may continue to be of utility to common law courts. In particular, it considers the position in jurisdictions that are yet to adopt the United Nations Commission on International Trade Law Model Law on Cross‐Border Insolvency or enact a substantial statutory regime for recognising and cooperating with foreign courts or representatives in insolvency proceedings. The article considers the benefits and disadvantages of continuing to recognise – and extend – the inherent power. It suggests that although there are fundamental differences concerning the exercise of the inherent power, it may be possible to agree on a number of principles that inform the application of the inherent power and its future development. 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 | 0.031 | 0.051 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.026 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".