Bibliographic record
Abstract
The prospect of new hydrocarbon production as well as gas pipelines from the Beaufort-Mackenzie region, and from Alaska has resulted in increased attention to the substantial earthquake hazard in the Yukon and westernmost Northwest Territories. In this article we describe the distribution of past earthquakes and the hazard estimates based on the earthquake data file of the Geological Survey of Canada, and geophysical and geological constraints. There is exceptional seismicity in the S.W.Yukon where the Yakutat terrane is colliding with the Pacific continental margin in the Gulf of Alaska. The collision is pushing up the spectacular St. Elias Mountains including Mt. Logan, Canada’s highest mountain. The region has one of the greatest seismic hazards in Canada, with numerous recorded magnitude 7 to 8 earthquakes. Less well appreciated is the strong seismicity in the Mackenzie Mountains, Richardson Mountains, and the Beaufort Sea regions, with a number of magnitude 6 to 7 recorded earthquakes. The earthquake record and new high-precision GPS deformation data support a tectonic model of margin terrane collision driving the whole northern Cordillera Yukon block to the north-northeast at about 5 mm/yr. This motion is accommodated at the Cordillera eastern mountain front by overthrusting of the strong craton, as expressed by mainly t h rust earthquakes in the Mackenzie Mountains. The northerly motion also produces frequent strike-slip earthquakes in the Richardson Mountains region, and perhaps the concentration of seismicity in the Beaufort Sea. Although t h e re have been no historical large events under the Mackenzie Delta, there is a possibility that the Delta thrust front is capable of infrequent but large earthquakes. The very wide spacing of seismograph stations in northwestern Canada limits the epicentre accuracies, and correlation of the seismicity with geologically mapped faults is possible only for a few of the larger structures. Even recently, only earthquakes of magnitude above about M3 have been consistently recorded and depth determination has been possible for only a few of the larger recent events; they generally are in the upper crust. With the available earthquake catalogue and other information, hazard maps of ground shaking probability are as yet only very regional.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".