Bibliographic record
Abstract
Given the negative financial and economic shocks of the COVID-19 pandemic, the Bank of Canada (BoC) adopted several policies, including a suite of monetary policies, to maintain a healthy level of market liquidity. Among these measures, the BoC established the Canada Mortgage Bond Purchase Program (CMBP) on March 16, 2020. Through the CMBP, the BoC purchased Canada Mortgage Bonds (CMBs) from primary dealers on the secondary market, holding the CMBs on its balance sheet. The bank created the CMBP, which operated twice weekly and targeted purchases of up to CAD 500 million (USD 373 million) per week, to "support the functioning of the CMB market and the ability of financial institutions to finance mortgage lending to Canadian homeowners." While the BoC credited the CMBP for maintaining Canadian market liquidity, use of the CMBP declined as the Canadian economy improved. Because of its disuse, on October 15, 2020, the BoC announced the CMBP would cease its operations on October 26, 2020. The CMBP ceased operations as scheduled. In about six months of operation, purchases through the CMBP totaled more than CAD 8 billion.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.130 | 0.016 |
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".