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Record W2584389507 · doi:10.1007/s00015-017-0262-7

The 1905 Chamonix earthquakes: active tectonics in the Mont Blanc and Aiguilles Rouges massifs

2017· article· en· W2584389507 on OpenAlexaff
Michel Cara, J. van der Woerd, Pierre-Jean Alasset, J. Benjumea, Anne‐Sophie Mériaux

Bibliographic record

VenueSwiss Journal of Geosciences · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsCentre For Cold Ocean Resources Engineering
Fundersnot available
KeywordsSeismologyGeologyMassifTectonicsFault (geology)Seismic hazardPaleontology

Abstract

fetched live from OpenAlex

Linking earthquakes of moderate size to known tectonic sources is a challenge for seismic hazard studies in northwestern Europe because of overall low strain rates. Here we present a combined study of macroseismic information, tectonic observations, and seismic waveform modelling to document the largest instrumentally known event in the French northern Alps, the April 29, 1905, Chamonix earthquake. The moment magnitude of this event is estimated at M w 5.3 ± 0.3 from records in Göttingen (Germany) and Uppsala (Sweden). The event of April 29 was followed by several afterschocks and in particular a second broadly felt earthquake on August 13, 1905. Macroseismic investigations allow us to favour a location of the epicentres 5–10 km N–NE of Chamonix. Tectonic analysis shows that potentially one amongst several faults might have been activated in 1905. Among them the right lateral strike-slip fault responsible for the recent 2005 M w = 4.4 Vallorcine earthquake and a quasi-normal fault northeast of the Aiguilles Rouges massif are the most likely candidates. Discussion of tectonic, macroseismic, and instrumental data favour the normal fault hypothesis for the 1905 Chamonix earthquake sequence.

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 score0.152
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.020
GPT teacher head0.252
Teacher spread0.232 · 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

Citations10
Published2017
Admission routes1
Has abstractyes

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