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Record W6894306123 · doi:10.5683/sp3/vxtmsu

Thermal State of Permafrost (TSP) - a Canadian contribution to the International Permafrost Association's International Polar Year project

2012· dataset· en· W6894306123 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2012
Typedataset
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostTundraBoreholeClimate changeGlobal warmingArcticDelta

Abstract

fetched live from OpenAlex

Many new ground temperature measurement boreholes have been established, and data were collected at more than 100 monitoring sites. To examine change in the recent past, we are collecting records and assembling databases concerning permafrost sites which had been examined by industrial and government partners during the past two decades. An indication of recent permafrost change was the loss of permafrost at half of the sites that we examined in August 2007 and 2008 along the Alaska Highway east of Whitehorse compared to conditions recorded by one of Canada's first permafrost scientists in 1964. Another finding is that permafrost in the mountains of the Yukon is warmer than we expected based on projections from standard climate stations, all of which are located in the valleys. In the cold, continuous permafrost at Herschel Island in northern Yukon, the ground has warmed by over 3°C in the 20th century, in close response to the warming of climate since 1899-1905. In the Mackenzie delta area, the mean annual ground temperature has increased by about 1.5°C since 1970 at sites in tundra regions, and less in the delta itself. In the delta, the influence of numerous water bodies reduces the impact of climate warming in winter on ground temperatures, as these lakes and channels do not all freeze through. In the uplands near Inuvik, ground temperatures are now sufficiently warm that changes to surface conditions may lead to permafrost degradation.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.011
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.288
Teacher spread0.275 · 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 designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2012
Admission routes1
Has abstractyes

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