Bibliographic record
Abstract
The Bank of Canada (BoC) activated its Corporate Bond Purchase Program (CBPP) from May 26, 2020, to May 26, 2021, in response to liquidity strains in corporate bond markets that stemmed from economic uncertainty and the COVID-19 pandemic. Policymakers enacted the CBPP as part of a broader suite of policies meant to stabilize the Canadian economy. Through the CBPP, the BoC purchased Canadian corporate bonds through a tender process on the secondary market. The CBPP could hold up to CAD 10 billion (USD 7.7 billion) par value of eligible bonds issued by specific non-deposit-taking firms incorporated in Canada. The bonds had to meet certain rating requirements, though the BoC allowed certain bonds downgraded after the start of the pandemic to remain eligible. The BoC would not purchase more than 10% of the par value of eligible assets that were outstanding on April 15, 2020 from a particular eligible issuer. CBPP utilization peaked at CAD 218 million in bonds on March 24, 2021. Assets from the financial and energy sectors made up most of the BoC's corporate bond holdings. Corporate bond market liquidity improved rapidly after the CBPP's implementation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.142 | 0.021 |
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".