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Record W3161606332 · doi:10.1061/9780784483589.004

Permafrost Investigations below the Marine Limit at Nain, Nunatsiavut, Canada

2021· article· en· W3161606332 on OpenAlexaffabout
Robert G. Way, Antoni G. Lewkowicz, Yifeng Wang, Paul McCarney

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsGovernment of NunavutUniversity of OttawaQueen's University
Fundersnot available
KeywordsPermafrostTransectGeologyBoreholeShoreElectrical resistivity tomographyPhysical geographyTerrainDisturbance (geology)Frost heavingFrost weatheringPopulationGeomorphologySubsidenceHydrology (agriculture)OceanographyGeographyPaleontologyGeotechnical engineeringSoil waterSoil scienceCartography

Abstract

fetched live from OpenAlex

Discontinuous permafrost is a challenge for development in the coastal communities of Nunatsiavut, Labrador, northeast Canada, where local high relief limits suitable terrain for construction. These issues are particularly pronounced in Nain, the largest and northernmost community in Nunatsiavut, which is undergoing rapid population growth and expansion. In this study, DC electrical resistivity tomography was combined with geotechnical borehole records and in situ field data to evaluate the distribution of permafrost at four sites in the lowest parts of the community. Permafrost was identified in at least six of the seven geophysical transects, including beneath culturally critical community infrastructure. A supra-permafrost talik was imaged beneath a convenience store that has experienced extreme differential subsidence, demonstrating that excess ice exists in some of the region’s frozen sediments. The presence of permafrost near the shoreline likely reflects ground cooling due to wind-scouring of snow at the exposed sites and the thermal impact of frost-susceptible sediments. Despite uncertainties in geophysical interpretation due to local site disturbance and coarse near-surface fill at some sites, these results have important implications for future development in this northern coastal community.

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 score0.013
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.028
GPT teacher head0.206
Teacher spread0.177 · 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

Citations4
Published2021
Admission routes2
Has abstractyes

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