MétaCan
Menu
Back to cohort
Record W4297810873 · doi:10.1175/bams-d-22-0082.1

The Arctic

2022· article· en· W4297810873 on OpenAlexaff
Richard Thoman, Matthew L. Druckenmiller, Twila Moon, Liss M. Andreassen, Emily H. Baker, Thomas J. Ballinger, Logan T. Berner, G. Bernhard, Uma S. Bhatt, Jarle W. Bjerke, Linette Boisvert, Jason E. Box, Brian Brettschneider, David Burgess, Amy H. Butler, John Cappelen, Hanne H. Christiansen, Bertrand Decharme, Chris Derksen, Dmitry Divine, Dmitry Drozdov, Chereque A. Elias, Howard E. Epstein, S. L. Farrell, Robert S. Fausto, Xavier Fettweis, Vitali Fioletov, Bruce C. Forbes, Gerald V. Frost, Sebastian Gerland, S. J. Goetz, Jens‐Uwe Grooß, Christian Haas, Edward Hanna, Bauer Inger Hanssen, Monique M. P. D. Heijmans, Stefan Hendricks, Iolanda Ialongo, Ketil Isaksen, Chad D. Jensen, Bjørn Johnsen, Lars Kaleschke, A. L. Kholodov, Seong-Joong Kim, Jack Kohler, Niels J. Korsgaard, Zachary M. Labe, Kaisa Lakkala, Mark J. Lara, Simon H. Lee, Bryant Loomis, Bartłomiej Luks, Kari Luojus, Matthew J. Macander, Rúna Í. Magnússon, G. V. Malkova, Kenneth D. Mankoff, G. L. Manney, Walter N. Meier, Thomas L. Mote, Lawrence Mudryk, Rolf Müller, Kelsey E. Nyland, James E. Overland, Finnur Pálsson, T. Park, Chelsea Parker, Donald K. Perovich, Alek Petty, Gareth K. Phoenix, Jorge Enrique Dí­az Pinzón, Robert Ricker, V. E. Romanovsky, Shawn Serbin, Gay Sheffield, N. I. Shiklomanov, Sharon L. Smith, Kathleen M. Stafford, Adam Steer, D. A. Streletskiy, Tove Svendby, Marco Tedesco, Laura Thomson, T. Thorsteinsson, Xiangshan Tian-Kunze, Mary-Louise Timmermans, Hans Tømmervik, Mark Tschudi, C. Tucker, Donald A. Walker, John E. Walsh, Muyin Wang, Melinda Webster, Adrien Wehrlé, Øyvind Winton, G. J. Wolken, Kevin R. Wood, Bert Wouters, Dedi Yang

Bibliographic record

VenueBulletin of the American Meteorological Society · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsQueen's UniversityNatural Resources CanadaUniversity of TorontoEnvironment and Climate Change CanadaGeological Survey of Canada
Fundersnot available
KeywordsArcticThe arcticEnvironmental scienceGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

Disruptive environmental change in the Arctic continued in 2021. While few indicators were at record levels, the ongoing trends provide a stark illustration of an Arctic that is a very different place than the Arctic of the twentieth century.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0190.000

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 head0.022
GPT teacher head0.224
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 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

Citations38
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueBulletin of the American Meteorological SocietySame topicClimate change and permafrostFrench-language works237,207