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Record W4413315294 · doi:10.32873/uno.dc.sd.16.01.1309

Book Reivew: Defending NATO's Norther Flank: Power Projecting and Military Operations

2025· article· en· W4413315294 on OpenAlexaboutno aff

Bibliographic record

VenueSpace and Defense · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMilitary and Defense Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFlankPower (physics)AeronauticsPolitical scienceHistoryOperations researchEngineeringSociologyPhysics

Abstract

fetched live from OpenAlex

This review evaluates Defending NATO’s Northern Flank: Power Projection and Military Operations, edited by Lon Strauss and Njord Wegge. The volume offers a comprehensive assessment of NATO’s evolving Arctic posture, combining doctrinal analysis, historical context, and alliance dynamics. Contributions examine Russia’s military strategy, U.S. Arctic policy, and intra-alliance complexities involving Denmark, Greenland, and the Faroe Islands. While the anthology provides valuable insights into NATO’s strategic challenges, it notably underrepresents Canada’s role. Overall, it stands as a timely and rigorous contribution to understanding Arctic security and NATO’s internal decision-making amid rising geopolitical competition. Note: PDF passed accessibility checker before upload.

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 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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.692
Threshold uncertainty score1.000

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 studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.010
GPT teacher head0.286
Teacher spread0.276 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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