Shear wave measurements for earthquake response evaluation in Orleans, Ontario
Bibliographic record
Abstract
The Geological Survey of Canada and Carleton University collected shear wave data at 63 seismic sites in the Ottawa suburb of Orleans as part of the Eastern Canada Geohazards Assessment Project. Data collection techniques included reflection/refraction and landstreamer profiling. Previous collection and analysis of high-resolution borehole velocity logs in 18 borings in the Ottawa-Montreal area led to the definition of an average shear-wave velocity-depth function unique to these sediments. This formula, when applied to 835 borehole logs from within Orleans, was used to estimate a Vs30 value at each location, based on the soil type described in the log. The combined data from surface seismic sites and derived velocity-depth calculations were contoured to produce a Vs30 map of Orleans. Shear wave velocity and post-glacial thickness information was also used to produce a fundamental site period map. High Vs30 values (>1500 m/s) were calculated in areas of thin overburden, and very low Vs30 values (<180 m/s) were obtained in areas underlain by thick deposits of post-glacial sediments. Of note is a buried bedrock valley with steep sides which extends in an elongate, NE-SW trend for approximately 2.5 km under Orleans. Borehole data alone did not clearly define the extent or depth of the clay-filled bedrock valley, which reached a depth of 95 meters in places. Due to the high velocity contrast between post-glacial sediments and bedrock in the Ottawa area, ongoing research is being carried out to address the unusually high soil amplification factors observed in the study area.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 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 teacher head, 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".