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Record W2800160466 · doi:10.22215/etd/2017-11860

Channelized Epishelf Lake Drainage Beneath the Milne Ice Shelf, Ellesmere Island, Nunavut

2017· dissertation· en· W2800160466 on OpenAlexfundaboutno aff
Jill Rajewicz

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaArcticNetGarfield Weston Foundation
KeywordsGeologyIce shelfOceanographyFjordFast iceGeomorphologyChannelizedShelf iceMelt pondChannel (broadcasting)Continental shelfSea iceCryosphere

Abstract

fetched live from OpenAlex

A depression running across the outer Milne Ice Shelf was hypothesized to overlie a basal channel incised by outflow from the Milne Fiord epishelf lake, a thick layer of freshwater impounded in the fiord by the ice shelf.Ice thickness mapping using ice-penetrating radar revealed the presence of a channel with incision heights of 39 to 45 m (70-80% of mean ice shelf thickness), basal widths of 57-86 m, and mean sidewall slopes of ~40° upward from horizontal.Profiles of salinity, temperature and current speed with depth showed there was a fast flowing jet of epishelf lake water in the channel, with velocities up to 60 cm s -1 , confirming the channel is a drainage outlet for the epishelf lake.The presence of the channel represents a significant structural weakness along which future breakup of the ice shelf is likely to occur.

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 score0.502
Threshold uncertainty score0.991

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.238
Teacher spread0.221 · 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

Citations4
Published2017
Admission routes2
Has abstractyes

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