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Record W4406796925 · doi:10.1039/d4va00240g

Local sources <i>versus</i> long-range transport of organic contaminants in the Arctic: future developments related to climate change

2025· article· en· W4406796925 on OpenAlexafffund
Derek C. G. Muir, María J. Gunnarsdóttir, Krystyna Kozioł, Frank von Hippel, Danuta Szumińska, Nicoletta Ademollo, Simonetta Corsolini, Amila O. De Silva, Geir Wing Gabrielsen, Roland Kallenborn, Żaneta Polkowska, Eva Kruemmel, Katrin Vorkamp

Bibliographic record

VenueEnvironmental Science Advances · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsInuit Circumpolar CouncilUniversity of GuelphEnvironment and Climate Change Canada
FundersNorthern Contaminants ProgramMiljøstyrelsenCrown-Indigenous Relations and Northern Affairs CanadaNarodowe Centrum Nauki
KeywordsClimate changeEnvironmental scienceArcticRange (aeronautics)The arcticContaminationClimatologyEnvironmental protectionOceanographyEngineeringGeologyEcology

Abstract

fetched live from OpenAlex

Climate change leads to releases of persistent organic pollutants and chemicals of emerging concern as glaciers melt and permafrost thaws. Increased human activity in the Arctic may enhance local emissions of potentially problematic chemicals.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.282
Teacher spread0.271 · 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.

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

Citations31
Published2025
Admission routes2
Has abstractyes

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