Bibliographic record
Abstract
When the Bank of Canada was first established in 1935, it had two very different models to choose from--the Bank of England and the U.S. Federal Reserve--in terms of the instruments that it might use for implementing monetary policy. Although some aspects of the Bank's early monetary policy practices, including the adjustments in the discount rate and moral suasion, reflect the British example, other important differences shaped a distinctly Canadian approach. Chant describes what he argues are distinctively Canadian innovations: the Bank's favoured means of managing chartered bank liquidity through transfers of government deposits, the adoption of lagged reserve requirements, and the two periods in which it decided to float the Bank Rate. He also describes the series of bold initiatives that were undertaken in the 1990s with regard to simplifying clearing and settlement procedures, reducing reserve requirements, and setting the Bank's target for the overnight rate. Chant suggests that these changes have improved market efficiency, reduced risk and uncertainty, and strengthened the Bank's influence over its short-term operating target.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| 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".