Conceptions of Borrowers and Lenders in the Canadian\nPayday Loan Regulatory Process: The Evidence from\nManitoba and Nova Scotia
Bibliographic record
Abstract
Commentators characterize thinking aboutpaydayloans as falling into two general perspectives. In one theory payday loans respond to market demand and are a sensible choice for a consumer with limited assets, credit, or other support when an unexpected financial need arises. The opposing theory holds that the loans are usurious and exploit vulnerable low-income borrowers. In 2007, amendments were passed exempting payday loans from the application of the criminal interest rate provisions of the Criminal Code if they were made by companies licensed by a province with a regulatory scheme. The author examines how federal and provincial lawmakers and administrative decision-makers understood payday loans and those who use them, and how the conceptualizations of borrowers and the industry are reflected in the regulatory regimes that emerged. To do this the author considers the federal legislative debates about the Criminal Code amendments and the subsequent cost-setting decisions in Manitoba and Nova Scotia, the first two provinces to regulate payday lending. Despite Manitoba's focus on more vulnerable borrowers, she concludes that, assessed as a whole, the regulatory regimes better correspond to the "market demand" school of thought about payday loans.
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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 | 0.003 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.020 | 0.013 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".