Summaries of Central Bank Policy Deliberations: A Canadian Context
Bibliographic record
Abstract
This paper provides the context, rationale and key considerations that informed the Bank of Canada’s decision to publish a summary of monetary policy deliberations. It includes an analysis of how other central banks disclose minutes and summaries of their monetary policy deliberations. Most other central banks surveyed publish some sort of summary of deliberations. The Bank of Canada’s existing communications already include aspects of these summaries. However, the Bank does not normally provide some information that they contain, such as: • a review of the policy choices that were discussed • a diversity of viewpoints on the economic outlook and policy choices • the perspectives of individual members Publishing a summary of deliberations could enhance transparency, accountability and credibility and also reinforce the Bank’s independence. However, these benefits must be balanced against the potential for constraints on internal debate or the sending of mixed messages about the Bank’s outlook and decisions. The Bank of Canada Act empowers the Governor to make decisions, but in practice, decisions are made by consensus among members of the Bank’s Governing Council. This decision-making by consensus could have implications for what could or should be included in a summary. In the Canadian context, assuming the Bank will provide additional information, we also discuss some advantages and disadvantages of providing a summary of deliberations as a separate communication product or as an enhancement to current communications products. The material in the paper originally served as background information for internal discussions at the Bank of Canada around publishing a summary of policy deliberations. Following those discussions, the International Monetary Fund (IMF) published a review of the Bank of Canada’s transparency, concluding that the Bank “… sets a high benchmark for transparency” (IMF 2022). In that review, the IMF provided a recommendation on how the Bank could further improve its transparency by providing more information on its monetary policy deliberations. In response to the IMF review and internal discussions at the Bank, the Bank has publicly committed to providing a summary of its policy deliberations beginning in February 2023.
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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 | 0.037 | 0.101 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.024 |
| Science and technology studies | 0.029 | 0.011 |
| Scholarly communication | 0.027 | 0.007 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".