The Importance of Payday Loans in Canadian Consumer Insolvency
Bibliographic record
Abstract
During the past twenty years, the alternative financial services industry has increased in use and importance in Canada, especially in urban areas as major banks and to some extent credit unions/caisses populaires have abandoned their branches in the inner cities. The most common of these are deferred deposit loan operations, most commonly known as payday lenders. Payday loans are short-term loans, usually under $1,000, advanced against a post-dated cheque, which is payable on the borrower’s next payday. These loans typically add a number of registration and other fees to the maximum rate legally available, and are often refinanced or “rolled over ” to the next payday with additional fees payable, making them the most expensive source of consumer credit available. The high interest rates, as expressed on an annual basis, have raised the attention of media and regulators, with some provinces (e.g., Manitoba) planning legislative controls on payday loans, which are currently under federal jurisdiction. The importance of these loans in consumer insolvency is largely unknown: Are they helping to fill the gap and allowing consumers to avoid bankruptcy, or are they just one more loan to add to an already overextended debtor, pushing him or her over the brink into bankruptcy?
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".