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Record W1990340499 · doi:10.1139/e03-056

The impact of climate change on an emerging coastline affected by discontinuous permafrost: Manitounuk Strait, northern Quebec

2003· article· en· W1990340499 on OpenAlexafffundvenueabout
Nancy Beaulieu, Michel Allard

Bibliographic record

VenueCanadian Journal of Earth Sciences · 2003
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPermafrostGeologyThermokarstShorePost-glacial reboundClimate changeSea levelGlacial periodArcticGeomorphologyPhysical geographyOceanographyGlobal warmingTectonic upliftOutcropEarth scienceStructural basin

Abstract

fetched live from OpenAlex

A comparative analysis of air photos and a field survey show that permafrost-affected sectors of the coastline along Manitounuk Strait receded at an increasing rate between 1950 and 1995. These sectors are in bays where post-glacial Tyrrell Sea clays outcrop. During the same period, sand beaches at the mouths of streams and rock and till shorelines on headlands prograded at the pace of isostatic uplift. Permafrost that had aggraded and formed lithalsas and plateaus during the 19th century (i.e., during the Little Ice Age) had expanded over the tidal marsh and had locally provoked accelerated coastal emergence as frost heaving added to post-glacial isostatic uplift. Climate warming during the 20th century, particularly during the summer months, generated a chain of impacts involving forest growth, snow cover, ground warming, and permafrost degradation. Waves and tidal currents are mainly responsible for the evacuation and transport of thermokarst-produced silts and clays from the shore into the marine basin.

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 score0.018
Threshold uncertainty score0.133

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 head0.037
GPT teacher head0.267
Teacher spread0.230 · 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

Citations24
Published2003
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Journal of Earth SciencesSame topicClimate change and permafrostFrench-language works237,207