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Record W3216049052

Cataloguing Retrogressive Thaw Slumps along the Old Crow River, YT: Proposing Regional Controls on Retrogressive Thaw Slump Formation and Growth

2021· article· en· W3216049052 on OpenAlexaffabout
Brooklyn S. Miller

Bibliographic record

VenueStudent Research Proceedings · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPermafrostSlumpGeologyThermokarstLandformCliffSedimentGeomorphologyPhysical geographyElevation (ballistics)Hydrology (agriculture)OceanographyGeotechnical engineeringGeographyPaleontologyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

The Old Crow River flows across a continuous permafrost zone in the Northern Yukon. The seasonally frozen ground contains ice, organics, and metal pollutants. Retrogressive thaw slumps form when permafrost on the riverbanks thaw and sediment flows downslope into the river, leaving an unvegetated scar that can be seen on satellite images. The thaw slump will grow rapidly until stabilization impedes further melt. The specific controls on permafrost thaw will vary regionally throughout the Yukon, and the variables affecting formation and activity of thaw slumps along the Old Crow River have not been studied. Influences on the activity of thaw slumps are proposed through cataloguing geomorphic conditions and variables measured using satellite images and digital elevation data. The data collected suggests that cliff slope and direction, river processes, and proximity to certain landforms may influence growth and activity of thaw slumps along the Old Crow River. Satellite data is used to perform a supervised classification of the area that identifies RTS with a sensitivity of 62% and precision of 85%. Department: Physical Sciences Faculty Mentor: Dr. Robin Woywitka

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.100
GPT teacher head0.350
Teacher spread0.250 · 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 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueStudent Research ProceedingsSame topicClimate change and permafrostFrench-language works237,207