Bibliographic record
Abstract
INTRODUCTION The previous chapters have built the case for a view of central banks that recognizes the simultaneous role of institutional and economic factors on their performance in an historical context. In addition, the success of central bank policies will also be crucially dependent on how the central bank communicates its policies to the public. The importance of a greater public understanding of central bank policies is not new, as we have seen. However, the task of improving the quality and quantity of information disclosed in public has taken on greater urgency in recent years, in parallel with two other notable developments. They are: the clarification of the responsibilities of the monetary authority and the increase in accountability to governments and, by implication, to the public at large. It should be emphasized that accountability is not meant as an end run around the autonomy of the central bank. Instead, as we shall see, accountability cannot be entirely divorced from procedures to handle conflicts between the central bank and the government. As the Royal Commission of 1936 into the operations of the Bank of Canada fully recognized “… while the Bank should resist temporary gusts of public fancy, it must in the long-run show responsiveness to public opinion and be responsible to government” (Royal Commission 1936). Needless to say, finding the right balance of rights and responsibilities in this context is no easy matter. Prior to the 1990s, there seems to have been little or no interest among academics or policy makers with the role of communication in the formation and validation of expectations formed by economic agents.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".