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Record W2095374554

Geotechnical investigations of coastal sediments at the arctic permafrost edge: preliminary results from an expedition to Herschel Island

2015· book· en· W2095374554 on OpenAlexaboutno aff
Nina Stark, Brandon Quinn, Hugues Lantuit, Gavin K. Manson, Alfred-Wegener-Institute Helmholtz

Bibliographic record

VenueHelmholtz-Zentrum für Polar-und Meeresforschung (Alfred-Wegener-Institut) · 2015
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostGeologyCoringSedimentOceanographyPore water pressureCoveCoastal erosionPenetrometerGeomorphologyHydrology (agriculture)ShoreGeotechnical engineeringDrillingSoil waterSoil science
DOInot available

Abstract

fetched live from OpenAlex

Herschel Island, Yukon Territory, is characterized by changes in permafrost and in coastal erosion associated with climate change. During the YUKON14 expedition in summer 2014, an in-situ geotechnical investigation of nearshore sediments was attempted using the portable free-fall penetrometer BlueDrop, burial of wave pressure gauges and sediment sampling and coring at ~300 locations of the mostly southern to southeastern side of the island. Vertical profiles of sediment strength and pore pressure at the uppermost seafloor surface were obtained in water depths ranging from 0.5-20 m. Pore pressures were monitored at a sediment depth of ~20 cm in the beach sediments on Herschel Spit and Pauline Cove over seven days with a sampling rate of 10 Hz. The results showed a strong spatial variability and stratification likely governed by the strong variations of hydronamic energy at different locations, as well as past and current thaw mud slump activity in the coastal zone.

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 score0.936
Threshold uncertainty score0.127

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 communication0.0000.000
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 head0.040
GPT teacher head0.279
Teacher spread0.239 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

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