Canada: Governing the Future for Investor Confidence
Bibliographic record
Abstract
From late 2001 through 2002, corporate fraud and scandal dominated business headlines in the United States, resulting in a serious decline in investor confidence.' Enron Corporation's failure, in particular, proved to be a monumental business event because the company was so large and esteemed.2 Unfortunately, this event was the first of several corporate humiliations.In addition to Enron, companies such as WorldCom, Adelphia, Arthur Andersen, Martha Stewart Living Omnimedia, and Tyco captured similar negative publicity during the parade of scandals.3 Consequently, many questions surfaced regarding the integrity of capital markets and related participants, including company executives, directors, and external auditors.4 Because of the United States' central economic role, these collapses also impacted the rest of the world.In North America alone, trillions of dollars disappeared from the marketplace, both in company worth and in investors fleeing the equity and mutual fund markets.5 As a result of these losses, many legislators, lawyers, and jurists voiced various opinions with regards to the future of corporate and securities law.Many countries have radically restructured their regulatory systems or are in the process of doing so.In particular, Canada, the United States' northern neighbor, received increased scrutiny regarding the country's regulatory structure for capital markets.As a result, Canada took several initiatives, not all of which are collaborative, that attempt to restore confidence and give the country's capital markets a national and international competitive advantage.*Ryan is a student at Southern Methodist University's Dedman
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.015 | 0.003 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.008 | 0.010 |
| Insufficient payload (model declined to judge) | 0.014 | 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".