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Record W4252865427 · doi:10.3402/ijch.v64i1.17961

Instructions for authors

2005· article· en· W4252865427 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Journal of Circumpolar Health · 2005
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsCircumpolar starScope (computer science)IndigenousThe arcticArcticPolitical scienceLibrary scienceSociologyOceanographyEcology

Abstract

fetched live from OpenAlex

Scope and purpose. The International Journal of Circumpolar Health is published by the International Union for Circumpolar Health, the Nordic Society of Arctic Medicine, the University of Oulu, the University of Alaska, Anchorage, and the University of Manitoba. The journal follows the tradition initiated by its predecessor, Arctic Medical Research. The journal specializes in Arctic and Antarctic health issues. It provides a forum for many disciplines, including the biomedical sciences, social sciences and humanities as they relate to health. The journal has a particular interest in the health of indigenous peoples. It is a vehicle for dissemination and exchange of knowledge among researchers, policy makers, practitioners, and those they serve.

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)0.004
metaresearch head score (Gemma)0.029
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 score0.219
Threshold uncertainty score0.313

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0050.005
Open science0.0020.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.7810.798

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 head0.053
GPT teacher head0.466
Teacher spread0.413 · 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
Published2005
Admission routes1
Has abstractyes

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