The Canadian National Seismograph Network: Upgrade and Status
Bibliographic record
Abstract
Abstract The Canadian National Seismograph Network (CNSN) operated by Natural Resources Canada consists of approximately 200 stations. Data from this network are used to produce the national earthquake catalog, to provide alerts in the aftermath of an earthquake, to develop the national seismic hazard maps, and for research within Canada and internationally. A significant upgrade to the instrumentation and infrastructure of the CNSN, which began in 2014, is nearing completion. The newly refurbished network is uniform in terms of instrumentation with the remaining single-component short-period stations converted to three-component broadband stations and consistent sampling rates across the network. Strong-motion instruments are now collocated with weak-motion instruments at many sites in all regions of Canada, and there is also a significant increase in the number of stand-alone strong-motion sites. Improvements in telecommunications were aimed at improving reliability and decreasing latency. All upgraded stations undergo a series of quality checks before the data are approved for dissemination. Data from the CNSN are freely available to the seismological community and the general public.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".