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Record W4323350906 · doi:10.1016/j.margeo.2023.107024

Sediment redistribution processes in Baffin Island fjords

2023· article· en· W4323350906 on OpenAlexafffund
Jaia Syvitski, Alexandre Normandeau

Bibliographic record

VenueMarine Geology · 2023
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsBedford Institute of OceanographyGeological Survey of Canada
FundersNatural Resources Canada
KeywordsGeologyTurbidity currentFjordSedimentDebrisTurbiditeMeltwaterOceanographyGeomorphologySediment transportContinental shelfStructural basinGlacierSedimentary depositional environment

Abstract

fetched live from OpenAlex

Four decades of studies on pristine Baffin Island fjords are summarized with respect to sediment redistribution processes and resulting deposits. Sediment fill in these fjords occurred during the Holocene epoch , when deglacial and postglacial processes led to sandy-mud basin fills. The sand component mostly enters the fjord basins from fjordhead sandurs and their shoreline chute failures, triggering the release of yearly turbidity currents . These currents can travel long distances, often within leveed channels, leaving behind a seafloor of migrating cyclic steps that eventually transform into unconfined sediment waves . Channelized cyclic steps migrate upstream at up to tens of meters per year whereas unconfined finer-grained sediment waves migrate at much lower rates. Moored instruments and sediment traps in two fjords show turbidity currents to occur mostly in June through August when meltwater supply from glaciers is at a maximum. Not surprisingly, moored instruments were dragged downslope by turbidity current impact, suggesting high-concentration of suspended sediment within a thin near-bed layer. In rarer cases, large debris flows form even larger and longer submarine channels that carry sediment for tens of kilometers into the deep basin. These slide-generated debris flows can reorganize the basin floor as a sediment conduit for follow-on turbidity currents across thousands of years. Whereas sand is transferred to the deeper basin by turbidity currents, mud accumulates on the steep sidewall slopes and in the deep basin. Where mud accumulates on steep (≥13°) margins, many sidewall failures occur. Notably, right-hand margins contain a thicker sediment package and are affected by more sidewall failures than the left-hand side, primarily due to the Coriolis effect on increasing sediment accumulation rates. Of the many sidewall slope failures documented in Baffin Island fiords, iceberg collision with the seafloor is the only triggering mechanism directly observed. The association between subaerial debris flow fans and margin failures indicates that rock avalanches and subaerial debris flows also play a key role in triggering sidewall failures. The active seismic zone along Baffin Bay, likely initiated the rare but large deep-seated landslides observed in the sedimentary record. Baffin Island fjords are incredibly dynamic coastal environments with an ability to annually redistribute large masses of submarine sediment.

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 score0.790
Threshold uncertainty score0.417

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0010.001
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 head0.015
GPT teacher head0.247
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

Citations12
Published2023
Admission routes2
Has abstractyes

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