A PRACTITIONER'S GUIDE TO THE NEW CANADA NOT-FOR-PROFIT CORPORATIONS ACT
Bibliographic record
Abstract
On June 23, 2009, Bill C-4, the Canada Not-for-profit Corporations Act received Royal Assent. The new Act is important governance legislation in its own right but will doubtless exert an influence far beyond those corporations that will incorporate or continue under it. Just as the CBCA exerted a powerful influence on the shape of provincial and territorial laws governing business corporations in the years immediately following its implementation in 1975, this new federal Act is bound to exert an equally strong (if not more profound) influence on provincial and territorial not-for-profit corporate law reform in the years ahead. This article reviews the types of not-for-profit corporations to which the new Act will apply, summarizes the rules differentiating soliciting and non-soliciting corporations, describes some of the new governance provisions, analyzes possible problem areas and suggests workaround solutions to these problems, draws implications from the implicit governance regime imported into the new Act and outlines the process for continuing to the new Act.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.012 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.008 |
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".