Financial Stability: The Next Frontier for Canadian Monetary Policy
Bibliographic record
Abstract
The monetary policy arrangement in Canada has proven very successful. Despite many and varied economic shocks, the Bank of Canada has established the necessary conditions under which the annual rate of inflation, as measured by the rate of change of the Consumer Price Index, has remained very close to its formal 2 percent target for more than 15 years. The recent financial crisis, however, has highlighted the fact that low inflation may not be enough to ensure the stability of the financial system and the economy in general. The goal of achieving and maintaining financial stability has become, in Canada and elsewhere, the next frontier of monetary policy. What is needed is a new Canadian institutional framework to oversee macro-prudential regulation, which would take a systemic approach to safeguarding the financial system as a whole, and clearly define the role of the Bank of Canada within it. It will require the federal government, first, to recognize the importance of the issue and, second, to take the necessary time to assemble the framework with the appropriate parties involved and to assign responsibilities clearly. Doing it right will involve bringing together various policy authorities with different perspectives, specialties, and primary mandates.
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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.020 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.032 | 0.038 |
| Insufficient payload (model declined to judge) | 0.007 | 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".