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Record W4231304936 · doi:10.1002/lob.10166

Warwick F. Vincent Awarded Polar Medal

2017· article· en· W4231304936 on OpenAlexaboutno aff

Bibliographic record

VenueLimnology and Oceanography Bulletin · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicAcademic Writing and Publishing
Canadian institutionsnot available
Fundersnot available
KeywordsMedalPolarArtLibrary scienceArt historyPhysicsComputer scienceAstronomy

Abstract

fetched live from OpenAlex

The Governor General of Canada has awarded the Polar Medal to Warwick F. Vincent for his work in Canada's polar region. The Polar Medal is awarded to individuals who have “withstood the rigours of the polar climate to make significant contributions to polar expedition and knowledge, scientific research, and the securement of Canada's northern sovereignty.” Dr. Vincent is Professor of Biology and Canada Research Chair in Aquatic Ecosystem Studies at University of Laval, Quebec in the Department of Biology. He has conducted work in a variety of aquatic systems on the diversity, function, and interactions of microbial organisms and communities and how they respond to environmental change. Much of this work has been conducted in polar regions, and Dr. Vincent's most recent research has focused on the microbial productivity and diversity, and biogeochemistry of changing permafrost environments. Dr. Vincent is involved in many collaborative projects within Canada, including leadership roles in the Arctic Exchange Study and ArcticNet programs and working with the Quttinirpaaq National Park to utilize polar ecosystems as monitoring sites for global climate change. This is the second year the Polar Medal has been awarded, replacing the Northern Medal in 2015, and Dr. Vincent is this year's sole recipient.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.817
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.222
Teacher spread0.202 · 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 designNot applicable
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
Published2017
Admission routes1
Has abstractyes

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