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Record W2076758394 · doi:10.1139/t08-047

Movement triggers and mechanisms of two earth slides in the Thompson River Valley, British Columbia, Canada

2008· article· en· W2076758394 on OpenAlexafffundvenueabout
Arash Eshraghian, C. Derek Martin, Norbert R. Morgenstern

Bibliographic record

VenueCanadian Geotechnical Journal · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGeologyDrawdown (hydrology)ErosionSiltQuaternaryInclinometerSedimentRiver valleyHydrology (agriculture)Geotechnical engineeringGeomorphologyArchaeologyGroundwaterAquiferPaleontologyGeography

Abstract

fetched live from OpenAlex

Since the construction of the Canadian Pacific Railway and Canadian National Railway main rail lines in western Canada in 1885 and 1905, respectively, both companies have had to contend with 11 large, translational, retrogressive earth slides in the Thompson River Valley south of Ashcroft, British Columbia. The initiation of these slides is associated with the down cutting by the Thompson River through the Quaternary sediments in its valley. The slides move on two subhorizontal weak layers in a glaciolacustrine clay–silt unit within this Quaternary sediment sequence. Transient seepage and stability analyses were conducted for two sample slides, and the results were in agreement with inclinometer and piezometric data. It is concluded that the Thompson River triggers the movements in a drawdown mechanism and (or) erosion mechanism. The Thompson River affects the stability of these slides in three ways: (i) by changing the pore pressure on the rupture surface, (ii) by changing the supporting force on the toe of the slide, and (iii) by changing the geometry of the slides as a result of river erosion. The relative importance of each of these effects depends on the river erosion protection, the depth of the rupture surface, and the amount of river level fluctuation.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.176
Teacher spread0.170 · 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 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

Citations56
Published2008
Admission routes4
Has abstractyes

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