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Record W4403091425 · doi:10.1130/g52446.1

Early Pleistocene glacier ice preserved in permafrost in the eastern Canadian Arctic

2024· article· en· W4403091425 on OpenAlexaffabout
Stéphanie Coulombe, Daniel Fortier, Denis Lacelle, Guillaume St‐Onge, A. Guertin-Pasquier

Bibliographic record

VenueGeology · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversité du Québec à RimouskiUniversité LavalUniversité de MontréalUniversity of OttawaCenter for Northern StudiesGovernment of Canada
Fundersnot available
KeywordsPermafrostGeologyGlacierArcticPleistocenePhysical geographyGlacier morphologyArctic ice packRock glacierIce capsCryosphereOceanographyClimatologyEarth sciencePaleontologyAntarctic sea iceSea iceGeography

Abstract

fetched live from OpenAlex

Abstract Extensive amounts of glacier ice can be buried and preserved in the permafrost for thousands to millions of years under favorable conditions. Here, we combine sedimentological, cryostratigraphic, and geochemical techniques together with radiocarbon and paleomagnetic dating to show that relict early Pleistocene glacier ice was preserved in the permafrost on Bylot Island (Nunavut). The buried glacial ice sits on top of a 2.8–2.4 Ma fossil forest deposit, and the glacio-fluvial sediments overlying the ice has normal-reversed-normal magnetic polarities, suggesting that the ice was in place since at least 0.773 Ma. As such, this represents the oldest glacier ice preserved in Arctic permafrost landscapes and the earliest evidence of a Pleistocene glaciation in the eastern Canadian Arctic. The findings highlight the resiliency of ice-rich permafrost to degradation; however, the ongoing climate warming and/or recent geomorphic disturbances have now exposed the early Pleistocene age buried glacial ice to melting.

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 score0.016
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0010.000
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 head0.034
GPT teacher head0.239
Teacher spread0.205 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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