Bibliographic record
Abstract
This paper examines access to business finance by Canadian small and medium-sized enterprises (SMEs) and to housing finance by Canadian households (particularly non-prime borrowers) against the background of a fairly concentrated and protected banking industry. It finds access broadly adequate for the former group. However, given the dominance of the large banks and their fairly low risk tolerance, financing of riskier projects is a challenge. Problems with venture capital, plausibly related to the prevalence of tax-advantaged labor-sponsored funds, exacerbate the situation for the most innovative SMEs. The paper also finds the market for housing finance to be highly advanced and sophisticated. However, non-prime mortgage financing is in its infancy in Canada, and further development of that sector (while avoiding the excesses that beset the U.S. market in the last few years) would be beneficial. More broadly, despite recent innovations, options available to Canadians for financing house purchases are still somewhat limited, with scarce availability of mortgage maturities beyond five years particularly surprising. Further advances in securitization could help progress in both of these areas
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".