OUT OF THE WOODS : Sino-Forest, Third-Party Releases & the Relationship Between Insolvency & Class Action Law
Bibliographic record
Abstract
Under Canada’s Companies’ Creditors Arrangement Act RSC 1985, c C-36 (“CCAA”), a restructuring plan typically releases creditor claims against the debtor company. Occasionally, a restructuring plan will also release creditor claims against third parties, such as the debtor’s auditor. These releases are known as third-party releases. Third-party releases are a controversial feature of Canadian restructuring proceedings. Nonetheless, the approval of third-party releases is an emerging trend under the CCAA. In 2013, Morawetz J approved a $117 million settlement in an Ontario class action. The settlement was approved as a part of the Sino-Forest Corporation CCAA proceeding. It gave Ernst & Young a full third-party release and barred opt-outs. Some class members argued that the settlement was unrelated to the restructuring and that it violated their opt-out rights under Ontario’s class action legislation. Morawetz J approved the settlement with the third-party release, holding that opt-out rights can be compromised in a CCAA proceeding. Thus, his decision is significant to both insolvency and class action law. This paper analyzes the decision and its implications. The decision demonstrates that CCAA courts are increasingly willing to approve third-party releases, which is a positive development in the law. Proper third-party releases can lead to faster negotiations, larger settlements and smoother restructurings. Thus, releases can maximize benefits for stakeholders and minimize strain on the courts. The decision also clarifies the relationship between the CCAA and class action legislation, striking a suitable balance between insolvency and class action policy goals.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.015 | 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".