Current Practices for Risk Profiling in Canada And Review of Global Best Practices Prepared for the Investor Advisory Panel of the
Bibliographic record
Abstract
This research was undertaken by PlanPlus Inc on behalf of the Investor Advisory Panel, an independent committee of the Ontario Securities Commission. All data collected for this project is confidential and will be held by PlanPlus for a period of one year and will then be destroyed. The underlying data has not been provided to the OSC or any parties outside the immediate research team. PlanPlus assumes responsibility for any errors and omissions in this report and thanks the authors of this study for their diligence and efforts to cover a broad and dynamic topic within a limited time and scope of engagement.
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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 | 0.063 | 0.086 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.024 | 0.030 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".