A Primer on Canada’s Large Value Transfer System
Bibliographic record
Abstract
This paper provides a comprehensive overview of Canada’s Large Value Transfer System (LVTS). The LVTS is a real-time electronic system for handling large-value payments and is an integral component of the country’s financial system. Each day, approximately Can$140 billion in payments is sent through the LVTS, including payments used to settle other important clearing and settlement systems in Canada. The paper explains how the design of the LVTS, including its risk-control framework, collateral arrangements, and loss-allocation procedures in the event of participant default, exceeds the risk-containment requirements of the international Core Principles for Systemically Important Payments Systems. At the same time, the LVTS offers a more cost-efficient means of sending payments relative to standard Real-time Gross Settlement arrangements. This is facilitated by the availability of several liquidity-saving features, each of which is described. The paper also discusses the linkage between the LVTS and the daily implementation of Canadian monetary policy. Details of LVTS ownership and participation are also outlined. A Primer on Canada’s Large Value Transfer System
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".