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Record W2747885041 · doi:10.1080/09662839.2017.1352580

The Single European Sky: a window of opportunity for EU–NATO relations

2017· article· en· W2747885041 on OpenAlexfundno aff
Chantal Lavallée

Bibliographic record

VenueEuropean Security · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAviation Industry Analysis and Trends
Canadian institutionsnot available
FundersH2020 Marie Skłodowska-Curie ActionsEuropean University InstituteBahçeşehir ÜniversitesiUniversité du Québec à MontréalEuropean CommissionVrije Universiteit BrusselUniversity of Dundee
KeywordsWindow of opportunityAir traffic controlEuropean unionPolitical scienceAgency (philosophy)AviationInternational tradeEconomyAeronauticsBusinessEngineeringEconomicsSociologyAerospace engineering

Abstract

fetched live from OpenAlex

To cope with increasing air traffic congestion, the European Union launched the Single European Sky in the early 2000s, intending to reform the European airspace which, at that time, was still fragmented by national frontiers. However, this has not been a purely civilian task, as military air transport is likewise affected. In fact, NATO has been concerned by the challenges facing the European Air Traffic Management environment due to the growing commercial aviation since its early days. For this, the European Defence Agency has been tasked to coordinate military views, thus opening a window of opportunity for EU–NATO relations. Both organisations promoting close coordination between the users of civilian and military airspace have built direct contact with each other. While examining how NATO and the EU are shaping their informal cooperation in this sector, the article considers the airspace community of users as a configuration of relations where inevitable inter- and intra-institutional power play is involved to reform the European airspace.

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)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.005
Scholarly communication0.0140.012
Open science0.0010.006
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0090.001

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 head0.092
GPT teacher head0.258
Teacher spread0.165 · 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
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

Citations11
Published2017
Admission routes1
Has abstractyes

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