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Record W4252840737 · doi:10.1002/wcc.386

Cover Image, Volume 7, Issue 1

2015· paratext· en· W4252840737 on OpenAlexaffabout
James D. Ford, Ellie Stephenson, Ashlee Cunsolo, Victoria L. Edge, Khosrow Farahbakhsh, Christopher Furgal, Sherilee L. Harper, Susan Chatwood, Ian Mauro, Tristan Pearce, Stephanie Austin, Anna Bunce, Alejandra Bussalleu, Jahir Diaz, Kaitlyn Finner, Allan Gordon, Catherine Huët, Knut Kitching, Marie‐Pierre Lardeau, Graham McDowell, Ellen McDonald, Lesya Nakoneczny, Mya Sherman

Bibliographic record

VenueWiley Interdisciplinary Reviews Climate Change · 2015
Typeparatext
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of WinnipegMcGill UniversityTrent UniversityUniversity of GuelphInstitute for Circumpolar Health ResearchCape Breton University
Fundersnot available
KeywordsArcticCover (algebra)The arcticGeographyClimate changeAdaptation (eye)Environmental resource managementPhysical geographyOceanographyEnvironmental sciencePsychologyGeologyEngineering

Abstract

fetched live from OpenAlex

The cover image, by James D. Ford et al., is based on the Overview “Community‐based adaptation research in the Canadian Arctic,” DOI 10.1002/wcc.376 . Lukie Airut, a seventy‐year‐old master carver and hunter from the Igloolik region of Nunavut, stands on an ice flow hunting walrus in the summer of 2012. Inuit in the Canadian Arctic are on the frontline of climate change adaptation as the region is warming double the global average which profoundly impacts social‐economic, cultural and biophysical systems. image

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.129
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8710.797

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 head0.144
GPT teacher head0.457
Teacher spread0.313 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2015
Admission routes2
Has abstractyes

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