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Record W1988281801 · doi:10.1029/2007gl032433

Increasing rates of retrogressive thaw slump activity in the Mackenzie Delta region, N.W.T., Canada

2008· article· en· W1988281801 on OpenAlexaffabout
Trevor C. Lantz, Steven V. Kokelj

Bibliographic record

VenueGeophysical Research Letters · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsAboriginal Affairs Northern Dev CanadaUniversity of British Columbia
Fundersnot available
KeywordsSlumpSlumpingPermafrostThermokarstGlobal warmingClimate changePhysical geographyEnvironmental scienceEcosystemDeltaTerrainGeologyHydrology (agriculture)ClimatologyOceanographyEcologyGeomorphologyGeographyArchaeology

Abstract

fetched live from OpenAlex

Climate warming at high latitudes may be contributing to the increase in areal extent of terrain disturbance associated with thawing permafrost. To evaluate change over time we analyzed historical temperature records and mapped retrogressive thaw slumps in the Mackenzie delta region using 1950, 1973 and 2004 aerial photographs. Here we show that rates of retrogressive thaw slump activity from 1973–2004 were significantly greater than during the preceding period (1950–1973) and suggest that these changes have occurred in response to a significant warming of annual and summer air temperatures during the period of record. In rolling, ice‐rich terrain, the rate of thaw slump activity can be expected to increase with continued climate warming. The impacts of slumping on landscape evolution and soil and lake chemistry will likely magnify the direct effects of warming on terrestrial and aquatic ecosystems.

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 score0.051
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.096
GPT teacher head0.311
Teacher spread0.216 · 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

Citations351
Published2008
Admission routes2
Has abstractyes

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