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Record W2910622288 · doi:10.4095/216137

Sensitivity of permafrost to climate warming in Canada

2004· report· en· W2910622288 on OpenAlexaffabout
Sharon L. Smith, M M Burgess

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsPermafrostSensitivity (control systems)Environmental scienceClimate sensitivityClimatologyClimate changeGlobal warmingWarming upPhysical geographyGeographyClimate modelGeologyOceanographyEngineeringBiology

Abstract

fetched live from OpenAlex

A major concern in climate-change impact studies in polar regions is the effect of climate warming on the permafrost environment. About half the present permafrost region in Canada contains permafrost at a temperature greater than -2C and models suggest that most of this could ultimately disappear in response to climate warming. Local environmental factors and ground-surface conditions will determine the response of the ground-thermal regime to increasing air temperature (thermal response), and also the impact of any permafrost thaw (physical response) that might occur. These factors have been combined to characterize and map, at a national scale, the potential thermal and physical response of permafrost in Canada to warming. These components have been combined into a sensitivity index map. Within a large portion of the region containing warm permafrost, the sensitivity of permafrost to climate warming is considered to be moderate to high. In these regions, the potential for substantial thaw settlement exists and consideration of its impact on buildings, utilities, roads, railways, pipelines, and containment structures may be required.

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 score0.029
Threshold uncertainty score0.209

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.045
GPT teacher head0.259
Teacher spread0.213 · 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

Citations40
Published2004
Admission routes2
Has abstractyes

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