Rwanda Legal Framework on Insolvency: Problems and Proposals for Reform
Bibliographic record
Abstract
Abstract The purpose of this article is to explore some key insolvency issues, which will be highly selective for this article, and to identify the weaknesses and inconsistencies in the existing framework on insolvency. Rwanda does not have an efficient and effective framework on insolvency, and the article argues that there is a need for an improved insolvency law regime. In view of the weaknesses and inconsistencies, it is vital to consider international best practices such as the United Nations Commission on International Trade Law (UNCITRAL) Legislative Guide on Insolvency and the UNCITRAL Model Law on Cross‐border Insolvency as the basis needed to deal with different aspects or elements of the Rwanda insolvency law. The value of this article lies in the insights it offers into the current framework on insolvency and the opportunity given to address the inconsistencies, weaknesses and uncertainties that invariably arise from the law. Copyright © 2015 INSOL International and John Wiley & Sons, Ltd
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".