Bibliographic record
Abstract
The Bank of Canada currently expects the Canadian economy to return to full employment by the middle of next year, but is in no hurry to begin raising the overnight interest rate from its currently extremely low level towards the 3 percent plus range that normally has been associated with full employment. Some of the Bank’s critics have stressed that if inflation is to be kept stable after next year, then a “neutral” value for real – that is inflation-adjusted – market interest rates must be restored by then. The neutral interest rate’s value is hence extremely difficult to estimate, making other policy indicators highly relevant. Recent survey data on business intentions and expectations have shown more signs of expansion lately, but, along with still subdued rates of money growth, they do not as yet signal any imminent threat of an upsurge in long-term inflationary pressures in Canada, and these factors suggest that there might be something to be said for the Bank of Canada’s current caution towards raising interest rates.
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 | 0.030 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.013 | 0.042 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".