MétaCan
Menu
Back to cohort
Record W4241822896 · doi:10.5040/9780755620470

Negotiating Diplomacy in the New Europe

2012· book· en· W4241822896 on OpenAlexaboutno aff
Stefanos Katsikas

Bibliographic record

VenueI.B.Tauris eBooks · 2012
Typebook
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsDiplomacyForeign policyPolitical scienceInternational relationsNegotiationDilemmaArcticPoliticsInternational tradeEconomyPosition (finance)GeographyPolitical economySociologyLawBusinessEconomicsOceanography

Abstract

fetched live from OpenAlex

As the ice around the Arctic landmass recedes progressively further each year, the territory has become a flashpoint in world affairs. New and lucrative trade routes from East to West are now becoming accessible for shipping lanes and military deployment, and the Arctic is known to be home to large gas and oil reserves. Yet the territorial boundaries of the region remain ill-defined. In response to these geographical changes the Scandinavian countries, especially Denmark and Norway, have begun staking large proprietary claims in the face of pressure from the major powers - Russia, Canada, the US and China - for the trade routes to be designated as International Waters. Here, Norwegian scholar Leif Christian Jensen shows how Norway has undergone a positional shift after declaring its assertive position on the Arctic in 2005. Its disputes with Russia have created a new foreign policy dilemma, and a new set of 'red-lines'

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)0.003
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.019
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.013
Scholarly communication0.0120.007
Open science0.0010.006
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.329
Teacher spread0.284 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueI.B.Tauris eBooksSame topicArctic and Russian Policy StudiesFrench-language works237,207