Securities Regulation in Canada at a Crossroads
Bibliographic record
Abstract
On May 26, 2010, Canada’s Minister of Finance tabled in the House of Commons a draft Securities Act. The purpose of the Act is to establish Federal government jurisdiction over securities legislation and create a Federal Securities Regulatory Authority. With this initiative, the Federal government proposes to centralize the regulatory apparatus to ensure uniformity of policies and regulations across Canada and meet international standards of quality and comprehensiveness. But this initiative also raises significant constitutional and economic policy issues. In a comprehensive paper examining the main arguments supporting a centralized securities apparatus, Pierre Lortie, Senior Business Advisor at Fraser Milner Casgrain LLP, argues that sound public policy should move ahead only if there is a strong body of empirical evidence demonstrating that the performance of the current regime is significantly inferior to that of other countries — particularly the United States — and that a centralization of the regulatory apparatus is necessary to correct the situation. The paper demonstrates that Canada’s decentralized securities regulatory regime has in fact shown flexibility, a great capacity to adapt to changing circumstances and an unrelenting ability to respond to particular industry or regional needs. It has also provided strong assurances against the hasty adoption of disruptive and costly regulations because it is less susceptible to the imposition of politically expedient or faddish requirements or the influence of a dominant industry or interest groups. In contrast, a centralized system runs the risk of turning into a disruptive, costly and regrettable initiative that will not give Canadians what they expect, while erasing many of the benefits achieved so far.
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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.017 | 0.008 |
| Scholarly communication | 0.013 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 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".