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Record W3023004165 · doi:10.1002/ppp.2050

Recent advances (2010–2019) in the study of taliks

2020· article· en· W3023004165 on OpenAlexaff
H B O'Neill, Pascale Roy‐Léveillée, Liudmila Lebedeva, Feng Ling

Bibliographic record

VenuePermafrost and Periglacial Processes · 2020
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsLaurentian UniversityGeological Survey of CanadaNatural Resources Canada
Fundersnot available
KeywordsPermafrostGeologyAdvectionEnvironmental scienceMethaneEarth scienceGroundwaterGeomorphologyHydrology (agriculture)Geotechnical engineeringEcology

Abstract

fetched live from OpenAlex

Abstract Taliks are bodies or layers of unfrozen ground in permafrost areas. Recent research on taliks has been driven largely by the potential for release of greenhouse gases as taliks expand, and engineering challenges associated with thawing permafrost. Observations of talik configuration and development have been assisted by advances in geophysical techniques that complement mechanical and thermal measurements. Suprapermafrost taliks have been observed in a range of settings associated with disturbance from wildfire and infrastructure. These features are included in a revised talik classification scheme presented in this paper. Observations of methane release have renewed interest in lake talik initiation and development, resulting in substantial efforts to model thaw lake expansion. Hotspots of methane release have also been identified at saline springs. Recent simulations indicate that groundwater flow can significantly accelerate talik expansion and that incorporating heat advection may be required for accurate transient simulations. Ongoing global warming is expected to exacerbate the effects of surface disturbances on talik development and limit the ability of permafrost to recover in marginal permafrost areas.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.051
GPT teacher head0.268
Teacher spread0.217 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations80
Published2020
Admission routes1
Has abstractyes

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Same venuePermafrost and Periglacial ProcessesSame topicClimate change and permafrostFrench-language works237,207