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Record W6991596432

High North, high priority – Norway and the defence of NATO’s northern flank. OSW Commentary Number 393 12.05.2021.

2021· other· en· W6991596432 on OpenAlexaboutno aff

Bibliographic record

VenueArchive of European Integration (AEI) (University of Pittsburgh) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArcticCold warNorwegianPoliticsThe arcticMilitary BaseNuclear weaponRussian federation
DOInot available

Abstract

fetched live from OpenAlex

NATO's northern flank plays an increasingly important role in the security of the Euro-Atlantic area. Russia’s forces in the Northern Military District pose not only a conventional threat to Norway, but also a nuclear threat to the whole NATO, including the United States and Canada due to submarine-launched intercontinental ballistic missiles. The Russian Federation has been consistently increasing its military presence in the Arctic and its military activity along Norway's borders. Deterring Russia in the High North, in increasingly close cooperation with the allies, is thus a key task for the Norwegian Armed Forces. Oslo is gradually lifting Cold War restrictions in the defence sphere and intensifying military cooperation with the US, which is stirring up political controversy in the country. From the US perspective, NATO's northern flank is becoming more vital for containing Moscow. That is why they signed the Supplementary Defense Cooperation Agreement with Norway, expanding US troop access to military infrastructure there.

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)0.002
metaresearch head score (Gemma)0.004
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: Commentary · Consensus signal: none
Teacher disagreement score0.157
Threshold uncertainty score0.312

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.002
Scholarly communication0.0040.003
Open science0.0020.003
Research integrity0.0230.009
Insufficient payload (model declined to judge)0.0760.026

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 head0.008
GPT teacher head0.190
Teacher spread0.182 · 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
GenreCommentary

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
Published2021
Admission routes1
Has abstractyes

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