Reducing the Potential for Future Financial Crises: A Framework for Macro-Prudential Policy in Canada
Why this work is in the frame
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Bibliographic record
Abstract
Canada needs a policy framework and new governance structure beyond what is in place to reduce the potential for future financial crises. The authors make the case for establishing a formal committee with a mandate to identify potential systemic risks and to act promptly before they materialize. While Canada's system of regulating and supervising financial institutions might hold up as a model of good performance, changes can and should be made, say Jenkins and Thiessen. Future crises undoubtedly will have different antecedents than the last one, and we need to be sure that Canada's financial system will be equal to the task of dealing with them as they arise. The authors examine potential arrangements for macro-prudential policy in Canada and conclude that a formal committee is the preferred governance arrangement.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it