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Record W2129832208 · doi:10.1191/095968301680223512

Late-Holocene climatic changes as detected by the growth and decay of ice wedges on the southern shore of Hudson Strait, northern Québec, Canada

2001· article· en· W2129832208 on OpenAlexaffabout
Jennifer N. Kasper, Michel Allard

Bibliographic record

VenueThe Holocene · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité LavalCenter for Northern StudiesUniversity of Ottawa
Fundersnot available
KeywordsHoloceneGeologyPermafrostIce wedgePhysical geographyShorePaleoclimatologyClimate changeOceanographyArcticFluvialLittle ice ageClimatologyGeomorphologyGeography

Abstract

fetched live from OpenAlex

The dating of cryoturbated palaeosols associated with past ice-wedge activity on late-Holocene sandy fluvial terraces in a region of continuous permafrost leads to an interpretation of periods of ice-wedge growth and active cracking that alternated with periods of decay, dormancy and active layer deepening. The reconstruc tion corresponds with palaeoclimatic information obtained from existing Arctic-wide and regional proxy rec ords. The ‘Little Ice Age’ stands out as a period of intense ice-wedge activity in the study area. It was followed by a warm thawing interval during the first half of the twentieth century. From ad 1946 to 1991, a well-documented cooling of the climate took place, which reactivated 94% of the studied ice wedges. The pyramidal shape of ice-wedge tops and the depths of the upgrowth features could be correlated between sites several kilometres apart, clearly indicating a regional climatic response. The mean annual air temperature dropped from about–7.8°C in 1946 to–8.9°C in 1991. The threshold temperature for active ice wedges probably lies within this range.

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)0.001
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 score0.015
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.212
Teacher spread0.196 · 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

Citations69
Published2001
Admission routes2
Has abstractyes

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