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Record W4414206270 · doi:10.1080/10357718.2025.2556902

The Anglosphere and the European radical right

2025· article· en· W4414206270 on OpenAlexfundno aff
Srdjan Vucetic

Bibliographic record

VenueAustralian Journal Of International Affairs · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Systems and Governance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsGeopoliticsVisionAdversaryForeign policyInternational relationsSpace (punctuation)

Abstract

fetched live from OpenAlex

Contemporary Europe is witnessing a surge in radical-right leaders, parties, movements and knowledge producers who seek and proclaim a new world order. Consulting texts collected from different media and forms of communication, this paper asks how these actors view ‘the Anglosphere’, a distinct geopolitical space that challenges seemingly stable ′Western′ and ′Euro-Atlantic′ identities. ‘The’ European radical being a kind of empty signifier, the analysis identifies discourses that simultaneously inform and challenge each other. ‘National conservatism’ treats the Anglosphere as part of a singular Western world — albeit one overwhelmed by the worst excesses of liberalism. ‘Anglo-skepticism’ constructs the Anglosphere as Other, a blend of America's uninvited imperialism and an Anglo-Saxon civilisation-state. ‘Neo-Eurasianism’ agrees with ‘Anglo-skepticism’ on the Anglosphere’s fundamental otherness but casts it as an enemy rather than a mere rival. The three discourses suggest contrasting and complementary understanding of international order. National conservatives aim to morally and politically recast the West. In contrast, Anglo-skeptics and neo-Eurasianists abandon this aspiration, instead emphasising greater ‘sovereignty’ and ‘strategic independence’ for Europe. As these previously fringe visions seep into the European political mainstream, they gain significance for the current international reordering.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.939
Threshold uncertainty score0.305

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.284
Teacher spread0.275 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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