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Record W311561747 · doi:10.4095/211621

Global Terrestrial Network for Permafrost (GTNet-P): permafrost monitoring contributing to global climate observations

2000· report· en· W311561747 on OpenAlexaffabout
M M Burgess, Sharon L. Smith, Jerry Brown, V. Romanovsky, Kenneth M. Hinkel

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsPermafrostEnvironmental sciencePhysical geographyGlobal warmingClimate changeEarth scienceClimatologyGeologyGeographyOceanography

Abstract

fetched live from OpenAlex

Active layer and permafrost thermal state have been identified as key cryospheric variables for monitoring through the World Meteorological Organization's Global Climate Observing System. An international network, the Global Terrestrial Network for Permafrost (GTNet-P), has been established under the Global Climate Observing System and is being developed by the International Permafrost Association. The active layer component, the Circumpolar Active Layer Monitoring (CALM) program, is already in place. Global Terrestrial Network for Permafrost organizational efforts are thus focused on the development of the permafrost temperature monitoring program, where Canada contributes actively through the Geological Survey of Canada's membership on the International Permafrost Association organization and implementation committee. Although several regional permafrost borehole temperature networks exist, a globally comprehensive network for ground temperature measurements is required to provide long-term field observations essential for the detection of the climate change signal, for the assessment of its impact on permafrost, and for indications of spatial variability across the permafrost regions.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.212
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.108
GPT teacher head0.329
Teacher spread0.221 · 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
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

Citations71
Published2000
Admission routes2
Has abstractyes

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