70 Years of Central Banking: The Bank of Canada in an International Context, 1935-2005
Bibliographic record
Abstract
Bordo and Redish examine the evolution of central banking over the past 70 years and identify periods where Canada was either a notable innovator with regard to central banking practices or appeared to be following a slightly different course. They note that global forces seemed to play an important role in determining inflation outcomes throughout the 70-year period, and that Canada and the United States experienced roughly similar inflation rates despite some important differences in their monetary policy regimes. Canada, for example, was comparatively late in establishing a central bank, launching the Bank of Canada long after most other industrial countries had one. Canada also operated under a flexible exchange rate through much of the Bretton Woods period, unlike any other country in the 1950s and early 1960s; adopted inflation targets well before most other central banks; and introduced a number of other innovative changes with regard to the implementation of monetary policy in the 1990s.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".