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Record W4206143576 · doi:10.4095/329136

Macroseismic information for the 1935 moment magnitude 6.1 earthquake, near Témiscamingue, Quebec

2021· report· en· W4206143576 on OpenAlexaffabout
Maurice Lamontagne

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsMercalli intensity scaleAftershockGeologySeismologyMagnitude (astronomy)EpicenterGeological surveyBayShoreMoment magnitude scaleRichter magnitude scaleGeographyOceanographyPaleontology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.799
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.027
GPT teacher head0.273
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreMethods

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".

Quick stats

Citations1
Published2021
Admission routes2
Has abstractyes

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