Macroseismic information for the 1935 moment magnitude 6.1 earthquake, near Témiscamingue, Quebec
Bibliographic record
Abstract
The November 1st, 1935, Témiscaming earthquake occurred within 20 km of the town of Témiscaming, Quebec. This earthquake was felt west to Fort William (now part of Thunder Bay), Ontario, east to Saint John, New Brunswick, and south to Kentucky and Virginia. Damaged chimneys were reported in Témiscaming, Quebec, and North Bay and Mattawa, Ontario. In the epicentral region, rockfalls were observed as well as cracks in gravel and sand along the shores of islands and lakes. Some 350 km away from the epicentre, near Parent, Quebec, earthquake vibrations triggered a 30 metre slide of railroad embankment. Numerous aftershocks were felt in Témiscaming and Kipawa during the following months, the largest rated as magnitude ML 5.4 (or mN 4.9). For the main shock and its largest aftershock, this Open File Report provides the available macroseismic information interpreted on the Modified Mercalli Intensity Scale using newspaper accounts as the main source of information for Canada. Macroseismic information from total of 126 localities in Canada and nearly 900 communities in the US (from the NOAA database of intensities) are tabulated in a Microsoft Excel spreadsheet. When available, newspaper clippings are included, together with some original damage accounts, photographs and scientific reports. The Open File also includes a Google Earth kmz file that allows the felt information reports to be viewed in a spatial tool.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.015 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.308 | 0.074 |
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".