The New Bankruptcy ‘Detective Agency’? The Origins of the Superintendent of Bankruptcy in Great Depression Canada
Bibliographic record
Abstract
In the depths of the Great Depression, R.B. Bennett’s Conservative government appointed W.J. Reilley as Canada’s first Superintendent of Bankruptcy. Reilley’s experience made him eminently qualified. He had trained as a lawyer and had been the Registrar of the Bankruptcy Court of Ontario at Osgoode Hall for many years. The creation of the federal Superintendent’s office in 1932 is one of the major milestones in the legislative history of Canadian bankruptcy law. In the bankruptcy law literature, there is a broad recognition that the 1932 reforms were vital. These accounts are incomplete. This article seeks to provide a fuller understanding of these reforms by examining sources of opposition to the establishment of the Superintendent’s office. Not all accepted the new regulatory approach and the prospects of a bankruptcy bureaucracy during the Depression. Within months of Reilley taking office, critics called into question his qualifications and demanded his resignation. Little is known about the 1932 reforms as the creation of the Superintendent’s office has largely been overshadowed in the insolvency field by the enactment of corporate reorganization legislation in 1933 and farm credit legislation in 1934.
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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 | 0.002 | 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 | 0.024 | 0.026 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".