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Record W3002580229 · doi:10.1177/0896920519894051

The Rise of Far-Right Civilizationism

2020· article· en· W3002580229 on OpenAlexaff
Blake Stewart

Bibliographic record

VenueCritical Sociology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsYork University
Fundersnot available
KeywordsReactionaryHegemonyEliteIdeologyPolitical economyCosmopolitanismCapitalismPoliticsPolitical scienceSociologyNeoliberalism (international relations)Law

Abstract

fetched live from OpenAlex

In recent years the rise of far-right politics in North America and Europe has called into question the stability and cohesion of the so-called liberal international order. Scholars and commentators have argued that this swelling configuration of reactionary social forces threatens the future of western hegemony within a 21st century global capitalism. This essay reflects on the role of transnational organizations, organic intellectuals and elite actors in shaping the modern far-right movement. This essay will discuss the rise of a transnational ideology of the contemporary far-right which I call ‘far-right civilizationism’. This far-right ‘hegemonic project’ seeks to challenge the centrist global governance model of ‘neoliberal cosmopolitanism’, which has been dominant in the West since the end of the Cold War. The reactionary worldview of far-right civilizationism represents an alternative elite grand strategy for world order, purposed to refurbish elite hegemony during a period of profound structural crisis.

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 score0.007
Threshold uncertainty score0.032

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 studies0.0060.046
Scholarly communication0.0070.006
Open science0.0000.006
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.042
GPT teacher head0.362
Teacher spread0.320 · 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

Citations77
Published2020
Admission routes1
Has abstractyes

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