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Record W7135548359

The Arctic Council:twenty years of policy shaping: introduction

2016· article· en· W7135548359 on OpenAlexaffabout
Lawson W. Brigham, Heather Exner-Pirot, Lassi Heininen, Joel Plouffe

Bibliographic record

VenueLaCRIS (University of Lapland) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsÉcole Nationale d'Administration PubliqueUniversity of Saskatchewan
Fundersnot available
KeywordsArcticYearbookThe arcticIndigenousCorporate governanceNexus (standard)
DOInot available

Abstract

fetched live from OpenAlex

In 2016 the Arctic Council celebrated the 20th anniversary of the signing of the Ottawa Declaration, which established the Arctic Council as a high level forum for cooperation amongst the Arctic states, indigenous communities and other Arctic inhabitants. The Arctic Ciouncil is the focus of the 2016 Arctic Yearbook as an acknowledgment of the central role it has played in rgeional governance and sstability-building in the past two decades. This Arctic Yearbook provides perhaps the most substantial evaluation of the Council ever published.

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)0.036
metaresearch head score (Gemma)0.050
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.075
Threshold uncertainty score0.196

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.050
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0150.017
Scholarly communication0.0310.021
Open science0.0030.011
Research integrity0.0150.014
Insufficient payload (model declined to judge)0.0100.002

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 head0.037
GPT teacher head0.256
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes2
Has abstractyes

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