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Record W4399655620 · doi:10.1017/9781009516075

World of the Right

2024· book· en· W4399655620 on OpenAlexaff
Rita Abrahamsen, Jean-François Drolet, Michael C. Williams, Srdjan Vucetic, Karin Narita, Alexandra Gheciu

Bibliographic record

VenueCambridge University Press eBooks · 2024
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSovereigntyNationalismPolitical economyPolitical sciencePoliticsHegemonyIdeologyGlobalizationInternational relationsSociologyLaw

Abstract

fetched live from OpenAlex

The contemporary radical Right is not merely a series of nationalist projects but a global phenomenon. This book shows how radical conservative thinkers have developed long-term counter-hegemonic strategies that challenge prevailing social and political orders both nationally and internationally. At the heart of this ideological project is a critique of liberal globalisation that seeks to mobilise transversal alliances against a common enemy: the 'New Class' of global managerial elites who are accused of undermining national sovereignty, traditional values, and cultures. 'World of the Right' argues that while the radical Right is far from a unified political movement, its calls for sovereignty, civilisational orders, and multipolarity enable complex, strategic convergences with illiberal states such as China and Russia, as well as states and people in the Global South. The potential consequences for the future of the liberal world order are profound and wide-ranging.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.010
Scholarly communication0.0100.010
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0260.006

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 head0.018
GPT teacher head0.221
Teacher spread0.204 · 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
GenreOther

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

Citations82
Published2024
Admission routes1
Has abstractyes

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