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Record W650464973

The Importance of Permafrost, Ice and Seasonally Frozen Ground to Road Systems in Canada

2007· article· en· W650464973 on OpenAlexaboutno aff
D Hayley, Rv Mcgregor

Bibliographic record

Venue23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007 · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostClimate changeGeographyResource (disambiguation)Global warmingEnvironmental resource managementEnvironmental sciencePhysical geographyOceanographyGeology
DOInot available

Abstract

fetched live from OpenAlex

Road structures on permafrost are discussed and include specific aspects of performance that can be linked to climate change. Selected case studies in Canada's north are presented to describe the issues and adaptations. Winter and ice roads are used extensively in Canada to resupply remote communities and to support resource development. The Tibbitt to Contwoyto winter road is infrastructure that supports the diamond mining industry in the Northwest Territories. This case study is used to demonstrate how climate change has impacted the operation and initiated the development of new technologies to optimize the shortening operating season. Seasonal weight limits play a significant role in the economy of the prairie region of Canada. It is important to consider potential changes in seasonal weight limits as a result of climate change. The aspects of seasonal weight limits that are vulnerable to climate change and possible adaptation strategies are discussed. The study concludes by making some summary statements on what this means in terms of reshaping the Canadian approach to transportation infrastructure management in Canada's cold regions. For the covering abstract see ITRD E139491.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.224
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 teacher head, not a consensus.

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

Citations1
Published2007
Admission routes1
Has abstractyes

Explore more

Same venue23RD PIARC WORLD ROAD CONGRESS PARIS, 17-21 SEPTEMBER 2007Same topicSmart Materials for ConstructionFrench-language works237,207