Developments in Financial Services Regulation: A Canadian Perspective
Bibliographic record
Abstract
In the years following the financial crisis, there has been increased scrutiny of financial institutions as economic and social actors. The crisis highlighted the dual issues of access to financial services and the structural and behavioural regulation of banks and countries have introduced various prudential, governance and access-based reforms. This article addresses eight specific issues spanning three main areas of reform. The three areas of reform are: the availability and provision of financial services; behavioural reforms designed to discourage excessive risk-taking and promote sound corporate governance practices in financial institutions; and prudential reforms designed to reduce risk in financial institutions. The eight specific issues are: (1) access to retail banking services in Canada; (2) access to short-term credit and payday lending; (3) the Equator Principles for project finance; (4) whistle-blower protection and self- regulation by audit committees; (5) corporate governance strategies for effective risk management; (6) executive compensation and say-on-pay; (7) the regulation of proprietary trading by insured depository institutions; and (8) central clearing of over-the-counter derivatives. Topics 1-3 relate to the first of the three broad areas of reform identified above; topics 4-6 relate to the second area of reform; and topics 7-8 relate to the third.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.018 | 0.006 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.010 | 0.008 |
| Insufficient payload (model declined to judge) | 0.015 | 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".