Bibliographic record
Abstract
In response to the COVID-19 crisis in early 2020, the Bank of Canada (BoC) enacted wide-ranging measures to support the flow of credit to individuals, firms, and municipalities. On March 24, 2020, the BoC established the Provincial Money Market Purchase Program (PMMPP) to address liquidity strains in provincial funding markets. The BoC initially committed to purchasing up to 40% of each offering of directly issued provincial money market securities with terms of 12 months or less, including provincial treasury bills and short-term promissory notes. All Canadian provinces were eligible for participation in the program. The program's utilization peaked at 7.6 billion Canadian dollars (CAD) (USD 5.7 billion) in provincial money market securities held by the BoC during the week of July 1, 2020. The announcement of the program led to a swift recovery in primary issuances and helped to tighten spreads on three-month treasury bills for Ontario and Quebec, the two most populous provinces. Citing improved conditions in short-term borrowing markets, the BoC announced the discontinuation of the PMMPP on November 9, 2020.
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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 | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.139 | 0.015 |
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".