Regional Seismic Hazard Assessment for Small Urban Centres in Western Canada
Bibliographic record
Abstract
Seismic hazard assessment studies in western Canada have been conducted primarily for the largest urban centres, e.g. Vancouver and Victoria. A lack of shear-wave velocity (VS) information for the major Quaternary geological units in central Vancouver Island has hindered any efforts to provide a more regional-scale seismic hazard assessment. Cooperation between Vancouver Island University (VIU), the University of British Columbia (UBC), the Geological Survey of Canada (GSC), and the Regional District of Nanaimo (RDN) has resulted in preliminary seismic characterization studies for the region. As part of a groundwater characterization program by the RDN and GSC, an extensive seismic reflection survey over 45 km was used to select three locations for borehole drilling (coring and well installation) and borehole geophysics including direct measurement of VS along the wells. Concurrently, VIU and UBC performed an initial urban seismic microzonation study around Greater Nanaimo which included widespread low-cost ambient vibration testing combined with the digitizing and updating of surficial geological maps. Information will be presented on the VS testing performed by the GSC and UBC at the three specific borehole sites; verification of lower-cost surface ambient vibration array testing to provide accurate VS estimates in comparison to higher-cost but direct downhole measurements is important for seismic hazard assessment studies in small urban centres. Determination of the average VS of the Quaternary geological units in the region will enable use of the widespread seismic reflection and lower-cost ambient vibration testing data to provide accurate depth to bedrock that is vital for seismic hazard categorization according to the National Building Code of Canada.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".