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Record W2981631309 · doi:10.4095/211861

Climate and ground thermal data, 1988-1994: Hot Weather Creek area, Fosheim Peninsula, Nunavut

2000· report· en· W2981631309 on OpenAlexaffabout
B T Alt, Claude Labine, D T Desrochers, Kathy L. Young, Michelle Garneau

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsPeninsulaClimatologyMeteorologyPhysical geographyEnvironmental scienceGeographyClimate changeGeologyOceanographyArchaeology

Abstract

fetched live from OpenAlex

This CD contains climate data and metadata (documentation) for the Hot Weather Creek autostation, climate data from other data loggers in the area, frost depth data from the Hot Weather Creek area, the results of modelling the active layer thickness for the area and climate data from the Sawtooth Range climate stations. These data are to accompany the GSC Bulletin 529 and not only provide the basis for the results presented in this bulletin but also the database from which to carry out many of the recommendations for future work resulting from the studies presented there. The Hot Weather Creek climate data set includes the quality controlled logger data, extensive documentation and value-added processed data. It is valuable not only as data for future studies but also as an model for the archiving of high Arctic field camp autostation data. All the data are presented in user friendly formats and are accompanied by readme files and location maps.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.184
Threshold uncertainty score0.369

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.004

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 head0.110
GPT teacher head0.287
Teacher spread0.176 · 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

Citations0
Published2000
Admission routes2
Has abstractyes

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