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Foreword to the special issue: climate change impacts, adaptation and vulnerability in the Arctic

2009· article· en· W2035218264 on OpenAlex
James D. Ford, Chris Furgal

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenuePolar Research · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsTrent UniversityMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchNasivvik Centre for Inuit Health and Changing Environments
KeywordsCircumpolar starClimate changeArcticVulnerability (computing)IndigenousThe arcticAdaptation (eye)Environmental resource managementGeographyGovernment (linguistics)Environmental planningEnvironmental scienceOceanographyEcologyComputer science

Abstract

fetched live from OpenAlex

The Arctic climate is changing, carrying wide-ranging implications for indigenous and non-indigenous inhabitants, businesses, industry and government across the circumpolar region. The latest scientific assessments indicate that change is happening faster than previously thought, and that the Arctic will continue to experience dramatic climate change in the future. This special edition of Polar Research brings together nine papers on climate change impacts, adaptation and vulnerability in the Arctic, providing important insights on the nature of the risks and opportunities posed by climate change in the circumpolar region, highlighting opportunities for policy response and providing insights on how to conduct effective climate change research with Arctic communities.

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.

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.258
GPT teacher head0.513
Teacher spread0.256 · 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