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Record W4413219492 · doi:10.1002/jqs.70005

The Holocene sedimentary record of Mittie Glacier dynamics in Smith Bay, Ellesmere Island (eastern Canadian Arctic Archipelago)

2025· article· en· W4413219492 on OpenAlexaffabout
Elodie Bracquart, Jean‐Carlos Montero‐Serrano, Patrick Lajeunesse, Guillaume St‐Onge, Luke Copland

Bibliographic record

VenueJournal of Quaternary Science · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversity of OttawaUniversité LavalUniversité du Québec à Rimouski
Fundersnot available
KeywordsGeologyBayHoloceneGlacierOceanographyArcticGlacial periodArchipelagoProvenanceSedimentary rockGeomorphologyPhysical geographyPaleontology

Abstract

fetched live from OpenAlex

ABSTRACT The physical, sedimentological, mineralogical, and elemental geochemical properties of sediment cores collected in Smith Bay (22BC and 01PC), and near the front of Mittie Glacier (23BC and 01GC), were used to reconstruct glacial sediment discharge and trace the long‐term composition and provenance of detrital sediments for the northeastern part of Manson Icefield, southeast Ellesmere Island, over the last 9.2 cal ka BP. The mineralogical and geochemical signatures of core 01GC support the hypothesis of the gradual opening of Nares Strait between 8.8 and 8.2 cal ka BP and suggest a progressive retreat of glaciers surrounding Smith Bay. Lower sedimentation rates (<14 cm ka −1 ) recorded in core 01GC during the Middle Holocene, combined with the presence of coarse‐grained sediments, indicate a landward retreat of Mittie Glacier and sea‐ice free conditions during summer in Smith Bay from 5.4 to 3 cal ka BP. During the Late Holocene, the deposition of six coarse‐grained layers close to Mittie Glacier seems to have been triggered by subglacial lake discharges upstream of its western arm. The only known surge of Mittie Glacier, recorded between 1992 and 2007, is identified in the core 23BC by a marked increase in coarse‐grained sediment input.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.588
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.250
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 teacher head, 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
Published2025
Admission routes2
Has abstractyes

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