MétaCan
Menu
Back to cohort
Record W2602440466

Organochlorine contamination of the Canadian Arctic, and speculation on future trends

2014· article· en· W2602440466 on OpenAlex
Tom Harner

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Journal of Environment and Pollution · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEnvironmental scienceArcticSnowThe arcticGlobal warmingContaminationEnvironmental protectionClimate changeEnvironmental chemistryEcologyGeographyOceanographyMeteorologyChemistryBiology
DOInot available

Abstract

fetched live from OpenAlex

Emission of organochlorine chemicals in urban, agricultural and industrial regions of the world has resulted in a substantial influx to the Canadian Arctic. Long–range atmospheric transport and what has been referred to as 'global distillation' transport many chemicals from warm source areas to cold, polar regions. Organochlorines are detected in Arctic air, water, and snow, with substantial accumulations in animals, marine mammals, and humans. This has led to concern regarding health effects to native people who consume traditional foods. Speculations on future trends of organochlorines in the Arctic is presented and related to global warming effects and the physical chemistry of the compounds of interest. It is conceivable that high levels of certain contaminants in the Arctic environment may persist for decades despite recent reductions in global emissions.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.680

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.005
GPT teacher head0.200
Teacher spread0.195 · 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