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Record W2899443158 · doi:10.11575/prism/18353

A non-invasive investigation of polythermal glacial hydrology: Stagnation Glacier, Bylot Island, Nunavut, Canada

2004· dissertation· en· W2899443158 on OpenAlexaboutno aff
Tristram Irvine‐Fynn

Bibliographic record

VenuePRISM (University of Calgary) · 2004
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsGlacierGlacial periodGeologyHydrology (agriculture)Physical geographyClimatologyGeomorphologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

In comparison to temperate examples, there are relatively few studies to date focused on the hydrology of polythermal glaciers. In particular, seasonal evolution of hydrological architecture at high latitude glaciers is poorly understood, with exception of a number of recent hydrochemical and dye tracing analyses. However, contemporary research has shown ground penetrating radar (GPR) to be effective tool for imaging englacial structures. To investigate seasonal evolution of englacial, subglacial and ice-marginal hydrology at the informally named Stagnation Glacier, Bylot Island, Nunavut, repeated sub-surface surveys using GPR were conducted, complemented by dye tracing and analysis of proglacial in­stream sediment transport. Results from all three methods strongly indicated progressive, yet subtle development of a polythermal glacier's hydrology through the summer. This work documents structural thermo-hydrologic progression at a polythermal glacier, and the integration of results, and interpretations presented here have potentially significant implications for the conceptual understanding of Arctic glacial hydrology, including water pressure distribution.

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 score0.159
Threshold uncertainty score0.945

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)0.0010.000

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 head0.007
GPT teacher head0.172
Teacher spread0.165 · 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

Citations5
Published2004
Admission routes1
Has abstractyes

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