On the meaning of <i>bankruptcy</i> : ‘Old–new’ lexicon in corporate insolvency law in the Commonwealth Caribbean
Bibliographic record
Abstract
Several jurisdictions in the Commonwealth Caribbean have undertaken reform and modernisation of their insolvency legislation. The dominant model for the new enactments has been Canada's federal statute, the Bankruptcy and Insolvency Act, RSC 1985, which has already been transplanted into six jurisdictions of the region. The transplantation has introduced lexicon which, while part of the vocabulary of the old statutes for personal insolvency, has, traditionally, been unfamiliar to the region's corporate insolvency law, hence the phrase, ‘“old–new” lexicon’, in the title. This article examines the meanings of some of this lexicon, particularly ‘bankruptcy’ and cognate terms, including ‘acts of bankruptcy’. The examination extends to the term ‘receiving order’, operationally related to bankruptcy. Legal interpretation of the terms is enriched in the discussion by insights from linguistics. While showing that the importation of these terms into the region's corporate insolvency law is semantically problematic, the article elucidates the signification of the terms. It points out that some of the ‘old–new’ terms may tend to reduce the efficacy in the contemplated lay administration of the statutes. It also warns that the ‘old–new’ lexicon threatens to undermine key goals of the reform exercise, suggesting a need for deeper scrutiny in the transplantation process.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".