L'article 107 de la Loi sur la faillite et les droits des différents créanciers
Bibliographic record
Abstract
Section 107 of the Bankruptcy Act of Canada establishes an order of collocation of creditors in a bankruptcy which comes in conflict with the order of collocation set out in many provincial statutes, and in particular, with that set out in the Quebec Civil Code for privileges. This has resulted in numerous court debates between creditors and trustees of the bankruptcy as between different categories of creditors who have seen their rank either lowered or elevated by the application of section 107. In the first part of this article, the author examines the categories of creditors concerned by this inversion, being mainly : the landlords, the Crown and Workmen's Compensation Boards. The second part of this article focuses on conflicts between secured creditors under provincial law and preferred creditors under the Bankruptcy Act. The author emphasises the differences that evolved between Quebec case law and the case law of other provinces particularily as to the scope of application of section 107 when there is a conflict between a secured lender and a lien claimant affected by section 107, on property of the bankrupt in which the trustee in bankruptcy has little or no interest.
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 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) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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".