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Record W2058006301 · doi:10.1002/esp.1664

The Steensby Inlet Ice Stream in the context of the deglaciation of Northern Baffin Island, Eastern Arctic Canada

2008· article· en· W2058006301 on OpenAlexaffabout
Arthur S. Dyke

Bibliographic record

VenueEarth Surface Processes and Landforms · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsDeglaciationGeologyMoraineIce streamDrumlinIce sheetSea iceOceanographyArctic ice packAntarctic sea iceSeabed gouging by iceGlacier morphologyCryosphereGeomorphologyGlacierHolocene

Abstract

fetched live from OpenAlex

Abstract Deglaciation of northern Baffin Island involved several large ice streams with contrasting histories. Three north‐flowing, marine‐based ice streams were in place during the Last Glacial Maximum, but they retreated at widely varying rates during the early and middle Holocene. The Steensby Inlet Ice Stream formed in response to over‐steepening of the ice front during deglaciation of Foxe Basin. It caused an abrupt change, in places a general reversal, of flow about 6 ka BP and operated across its full width for only about 500 years. Nevertheless, it left a distinct subglacial footprint, including an hourglass shaped bedform set. A dense network of till samples from the region of the ice stream reveals a sharp‐sided, pluglike dispersal of carbonate debris that was sustained by erosion in the source area of about 5 mm a −1 . The ice stream devolved into valley‐controlled ice streams separated by cold‐based ice over interfluves. The former evacuated debris along valleys and left erosional till scarps along the sides of sliding ice. Post‐ice‐stream end moraines, including the large Gifford Moraine, require later cold‐based flow across the drumlins formed by the ice stream. Copyright © 2008 John Wiley & Sons, Ltd.

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)0.000
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 score0.798
Threshold uncertainty score0.808

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.011
GPT teacher head0.197
Teacher spread0.186 · 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

Citations31
Published2008
Admission routes2
Has abstractyes

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