Methodology for seismic risk screening of existing buildings in Canada: Non-structural component scoring system
Bibliographic record
Abstract
The National Research Council of Canada (NRC) has recently developed a Semi-Quantitative Seismic Risk Screening Tool (SQST) to supersede the 1993 NRC Manual for Screening of Buildings for Seismic Investigation. The proposed screening tool incorporates a methodology for estimating global seismic risk of existing buildings associated with failure of their non-structural components. The methodology assesses global seismic risk using a qualitative yet comprehensive scoring system. The scoring system consists of a global non-structural component score and acceptable threshold scores. The global score is based on the most critical components. It combines a basic score with score modifiers for key parameters affecting the seismic response of non-structural components. The acceptable threshold score is based on the building’s consequence of failure, the building’s importance category, and the component factor. The scoring system is calibrated to be consistent with the seismic risk acceptance criteria previously developed for preliminary seismic risk screening of existing buildings, based on Canadian seismicity, building age, remaining occupancy time, and consequences of failure.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".