Canada: Canadian Commercial Bank Emergency Liquidity Program, 1985
Bibliographic record
Abstract
In March 1985, the Canadian Commercial Bank (CCB)-Canada's 10th largest bank, with CAD 2.9 billion in assets-reported to the Office of the Inspector General of Banks (OIGB) and the Bank of Canada (BoC) that CCB would not survive owing to large losses on its United States energy loans portfolio. In response, the BoC assembled an emergency CAD 255 million rescue package, secured through contributions from a consortium composed of the federal government, the provincial government of Alberta, the Canadian Deposit Insurance Corporation, and Canada's six largest banks. Despite the BoC's reassurances, including a public announcement promising virtually unlimited liquidity support, confidence in CCB continued to decline. By the time the bank failed, it depended on BoC support for approximately 65% of its total outstanding deposits, totaling CAD 1.3 billion. In the summer of 1985, as part of a full examination of CCB's loan book, authorities uncovered a significant number of additional impaired loans, confirming that the bank was deeply insolvent. This insolvency prompted the OIGB to declare the CCB nonviable on September 1, 1985, marking Canada's first bank failure in 62 years. The collapse of CCB triggered forced acquisitions of other significant regional banks and led to substantial regulatory reforms in Canada's financial sector.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.019 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.086 | 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".