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Record W7037406915

Dynamic characteristics of three major towers on Parliament Hill, Ottawa, from recorded vibrations during the Val-des-Bois, Quebec, earthquake of June 23, 2010

2011· article· en· W7037406915 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicCrustacean biology and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentTowerVibrationMagnitude (astronomy)Historical record
DOInot available

Abstract

fetched live from OpenAlex

The magnitude (Mw) of 5.0 Val-des-Bois earthquake that occurred in Quebec on June 23, 2010 was the biggest recent earthquake in eastern Canada. It produced the strongest shaking ever felt in Ottawa. The ground shaking was widely felt in Ontario and Quebec, and it was also felt in the US as far as Kentucky. A number of records from this event were compiled and processed by the Geological Survey of Canada. Of special importance for this paper are the recorded vibrations of three towers of the Parliament Hill buildings in Ottawa, i.e., the Peace Tower of the Centre Eilock, the Mackenzie Tower of the West Block, and the South-West Tower of the East Block. In total 27 records were obtained at the towers, including records at the ground level, at the middle and at the top of the towers. These are the first significant records obtained on the towers during an earthquake. The records were processed to determine the dynamic characteristics of the towers. Based on the Fourier amplitude spectra of the recorded signals, the natural frequencies of the vibration modes were determined. These were found to be very similar to those from ambient vibration tests. The results from this study are very important for seismic evaluations of the towers on Parliament Hill.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.199
Threshold uncertainty score0.401

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2011
Admission routes2
Has abstractyes

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Same venueNPARCSame topicCrustacean biology and ecologyFrench-language works237,207