Developing a retrofit scheme for Canada's Seismic Risk Model
Bibliographic record
Abstract
The first published Canadian Seismic Risk Model, CanSRM1, is set for release this year. It considers the potential impact of seismicity on Canadian building stock and people, taking into account the current built environment. To understand the benefits of retrofit policies, policy makers need a base of evidence showing the difference in risk before and after retrofitting. Therefore, we plan to incorporate a simulated retrofit scenario into the national model, after consulting with practicing engineers and experts to better understand how such retrofits are likely to occur. This report presents the outcome of that consultation process, and recommendations for implementation into CanSRM1. It is apparent that only modest retrofits should be simulated for the majority of buildings, except those which are expected to serve a post-disaster function. Other building types are poorly suited for cost-effective retrofit, such as unreinforced masonry. These ideas are used to create a retrofit scenario across Canada, which can be used by policy makers to create targeted seismic risk reduction policies.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".