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Record W7052120968

Retrogressive thaw slump process and morphology, Eureka Sound Lowlands, Ellesmere Island, Nunavut, Canada

2008· dissertation· en· W7052120968 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2008
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostThermokarstSlumpArcticMicroclimateClimate changeGlacierIce wedge
DOInot available

Abstract

fetched live from OpenAlex

Climate change is expected to have a significant impact on arctic regions, most notably in ice-rich permafrost regions. Retrogressive thaw slumps, backwasting resulting from the exposure of ice-rich permafrost, are a prominent thermokarst feature throughout the arctic and are projected to increase in frequency and extent under warming climate scenarios. However, there is limited information on retrogressive thaw slump activity and field observations are complicated by dynamic interactions between morphology and climate. This work attempts to further define these controls to increase understanding of retrogressive thaw slump processes. Spatial variations in headwall retreat indicate energy input and morphological influence on the landform. Morphologic factors such as ice face angles and the nature of ground ice are observed and analyzed for a relation to ice ablation and headwall retreat. Additionally, spatial microclimates are investigated to define the specific energy conditions at the ablating ice face. Analysis indicates that air temperatures in the vicinity of the ice face vary from exterior temperatures in response to solar radiation and wind speed and direction. Periods of high solar radiation and winds originating from upslope of the headwall potentially create a feedback process for headwall retreat.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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.

Study designNot applicable
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

Citations1
Published2008
Admission routes1
Has abstractyes

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