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Record W2013714474 · doi:10.1002/ppp.475

A field perspective on modelling ‘single‐ridge’ ice‐wedge polygons

2004· article· en· W2013714474 on OpenAlexaff
C. R. Burn

Bibliographic record

VenuePermafrost and Periglacial Processes · 2004
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsCarleton University
Fundersnot available
KeywordsIce wedgeGeologyPermafrostWedge (geometry)RidgePolygon (computer graphics)Field (mathematics)Stress fieldGeomorphologyGeophysicsPetrologyGeometryPaleontologyFinite element method

Abstract

fetched live from OpenAlex

Abstract Plug and Werner ( Nature 2002, vol. 417, pp. 929–933) have constructed a model for the growth of ice‐wedge polygons. Contrary to field evidence, the model describes development of ice wedges in frozen ground beneath a centre line of ridges and assumes that effects associated with perturbations in the thermal stress field due to growth of individual wedges may dissipate in the long run. In the field, troughs , not ridges , overlie wedges, and development of the troughs as the ice wedges grow increases snow accumulation above the wedges, so that older wedges may crack less frequently than younger ice wedges. As a result, the ‘single‐ridge’ model does not replicate the inexorable evolution of polygonal networks in the field, because the underlying assumptions are inconsistent with field conditions. Instead, the ‘single‐ridge’ ice‐wedge model attributes network development only to periods of high thermal stress, i.e. particularly cold winters. The model has been used to simulate development of such networks ab initio , by considering conditions in a recently drained thaw lake. However, the results do not reproduce field conditions because the model operates in frozen, not freezing ground, and therefore the initial modelled network is greatly exaggerated from known field observations. While the conclusions of the modelling are presented in general terms, the model only considers epigenetic polygons, which comprise a small fraction of the ice‐wedge polygons in polar terrain. Other, more extensive, syngenetic and anti‐syngenetic (hillslope) polygon networks are not mentioned. Copyright © 2004 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 score0.180
Threshold uncertainty score0.652

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 studies0.0010.000
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 head0.030
GPT teacher head0.244
Teacher spread0.214 · 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

Citations18
Published2004
Admission routes1
Has abstractyes

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