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Record W4406478985 · doi:10.1061/jcrgei.creng-863

Case Study of the Thermal Regime and Application of Engineering Solutions to Preserve the Road Embankment near Ungava Bay Coast, Canada

2025· article· en· W4406478985 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Cold Regions Engineering · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsUniversité LavalUniversité du Québec à Rimouski
Fundersnot available
KeywordsBayLeveeGeologyCoastal engineeringPermafrostOceanographyGeotechnical engineering

Abstract

fetched live from OpenAlex

This paper investigates a case study of ground thermal conditions underneath the access road embankment at Tasiujaq, Nunavik, Canada. A two-dimensional finite-element model was developed to analyze the heat transfer process and predict its long-term thermal regimes, considering a climate warming rate of 0.9°C per decade. The simulation results indicate that the side slopes are thermally unstable, and climate warming is exacerbating the unstable condition. Two engineering solutions have been proposed, and a preliminary design has been suggested to mitigate this unstable condition caused by climate warming effects over a 20-year design period. The method described in this paper is a sound approach for assessing the stability of road embankments using a geothermal model, and it proposes a viable design process for adaptation solutions to preserve permafrost underneath road embankments in Canada's North.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.873

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.212
Teacher spread0.194 · 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