MétaCan
Menu
Back to cohort
Record W2946854071 · doi:10.1680/jenge.17.00036

Seasonal deformations under a road embankment on degrading permafrost in Northern Canada

2018· article· en· W2946854071 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Geotechnics · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsBGC Engineering (Canada)University of ManitobaKGS Group (Canada)
FundersUniversity of Manitoba
KeywordsPermafrostLeveeGroundwaterGeotechnical engineeringGeologyFrost (temperature)Environmental scienceFrost heavingSettlement (finance)Human settlementHydrology (agriculture)GeomorphologyEngineering

Abstract

fetched live from OpenAlex

Permafrost degradation is a major concern in cold regions that are warming because of climate change. To assist in understanding the process, ground temperatures, lateral and vertical deformations and groundwater pressures were measured for 6 years under a road embankment in northern Manitoba, Canada. The road surface requires ongoing maintenance due to irregular settlements. The field data allowed the calibration of numerical modelling that related deformations to ground temperatures. It confirmed the presence of remnant permafrost under the centre of the embankment, but none under the midslope or toe. This ‘frost bulb’ plays an important role in the ground thermal regime, the groundwater pressures, the observed deformations and, ultimately, necessary road maintenance.

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 categoriesInsufficient 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 score0.714
Threshold uncertainty score0.996

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)0.0050.000

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 head0.199
Teacher spread0.184 · 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