A Bridge Over Troubled Waters - Resolving Bank Financial Distress in Canada
Bibliographic record
Abstract
Effective June 2017, Canada formalized its new resolution regime for “domestic systemically important banks”. This article examines the new resolution regime in the context of the early intervention program by the financial services regulator. The system offers a complex but integrated set of mechanisms to monitor the financial health of financial institutions, to intervene at an early stage of financial distress, and to resolve the financially distressed bank in a timely manner. Resolution is the restructuring of a financially distressed or insolvent bank by a designated authority. To “resolve” a bank is to use a series of tools under banking and insolvency legislation to address its financial distress in a manner that safeguards the public interest, including continuity of the bank’s critical functions. Resolution can provide for an orderly winding-up of the bank or restructuring to restore the viability of all or part of the institution to allow it to continue operating, called open bank resolution. The Canadian regime uses “bridge banks” as a resolution tool, where part or all of the assets, liabilities and/or shares are transferred to a temporary entity until they can be sold to a private-sector third party. It also implements “bail-in”, which allows preferred shares and debt to be converted into equity, placing part of the burden of bank failure on shareholders and creditors of the bank, minimizing costs to taxpayers. Given that banks have a critical intermediary role in the economy, financial difficulties need to be resolved in an orderly and efficient manner, avoiding undue disruption to the bank’s activities and instability of the financial system. However, there remain important issues in the Canadian resolution system in respect of financial conglomerate insolvency, in terms of oversight and coordination.
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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.024 | 0.006 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".