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Record W3025351708 · doi:10.1594/pangaea.911512

IRD flux and supporting data on two cores in the western North Atlantic

2020· dataset· en· W3025351708 on OpenAlexaboutno aff
Yuxin Zhou, Jerry F McManus, Allison W Jacobel, Kassandra M Costa, Blanca Alvarez Caraveo

Bibliographic record

VenueFigshare · 2020
Typedataset
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsOceanographyFlux (metallurgy)ClimatologyGeographyEnvironmental scienceGeologyChemistry

Abstract

fetched live from OpenAlex

A series of catastrophic iceberg discharges termed Heinrich events punctuated the last ice age in the North Atlantic. During Heinrich events, coarse terrigenous debris released from the drifting icebergs and preserved in deep-sea sediments serves as an indicator of their passage. Quantifying the vertical flux of ice-rafted debris (IRD) in pelagic sediments can resolve questions regarding the timing and variation in ice sheet calving intensity. In this study, 230Thxs-based IRD flux was measured throughout the last glacial period in a deep-sea sediment core from the western North Atlantic (EW9303-37JPC, 43.68°N, 46.28°W, 3981 m), and complemented during Marine Isotope Stages (MIS) 1-3 by measurements from DY081-GVY01 (50.16°N, 45.51°W, 3721m) in the Labrador Sea. The cores are downstream from the Hudson Strait, a leading candidate for the conduit of the icebergs from the Laurentide ice sheet (LIS). We compare our results with the directly equivalent existing data in the eastern North Atlantic, and show that EW37JPC and DY001GVY have higher IRD fluxes during all Heinrich events, notably including 3 and 6. This study demonstrates that the Laurentide played a role in all Heinrich events and raises the likelihood that a single mechanism can account for their genesis.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.071
Threshold uncertainty score0.142

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)0.0000.000

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 head0.039
GPT teacher head0.267
Teacher spread0.228 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueFigshare→Same topicAtmospheric and Environmental Gas Dynamics→French-language works237,207→