Bibliographic record
Abstract
In December 2011, in Reference re Securities Act, the Supreme Court of Canada dashed the Canadian federal government’s hopes of being able to create a federal securities regulator. Instead, it left the constitutional jurisdiction over “day-to-day operations of the securities markets” with the provinces and allocated to the federal government responsibility for just two things: data collection, and the management of systemic risk. Our claim in this essay is that the Reference can be understood as an invitation to create a meaningful and ambitious national systemic risk regulator for the securities markets. The essay points to five recent examples (the use of derivatives by Canadian issuers; LTCM and hedge fund activity; the Asset-Backed Commercial Paper crisis in Canada; the 2010 Flash Crash and high frequency trading; and money market mutual funds) to argue that the day-to-day operations of issuers, registrants, and regulators in the capital markets are constitutive of, and inextricable from, systemic risk. Regulating systemic risk therefore requires some degree of oversight of the underlying activities, plus deep information channels into local markets. In allocating data collection responsibilities to the federal government, the Reference is giving it a potentially significant tool. The Reference opens the possibility that the federal government can create not an overlapping fourteenth securities regulator, but an active “clearinghouse” regulatory body that sets broad goals and regulatory requirements, while leaving detailed implementation of regulation to the provinces.
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 | 0.027 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".