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Record W4403284529 · doi:10.1093/sf/soae147

How liberalism accommodates far-right social movements: on “mainstreaming” and the need for critical theory in far-right studies

2024· article· en· W4403284529 on OpenAlex
Justin Everett Cobain Tetrault

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Forces · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPopulism, Right-Wing Movements
Canadian institutionsUniversity of Alberta
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFar rightLiberalismMainstreamingSociologyLaw and economicsPolitical sciencePositive economicsLawEconomicsPolitics

Abstract

fetched live from OpenAlex

Abstract Scholarship on social movements, racism, and nationalism increasingly falls under the purview of “extremism studies” and its subfield “far-right studies.” Prominent extremism scholars have developed generalist theories purportedly explaining far-right politics and power dynamics (or “mainstreaming”) across liberal societies. They define “far-right” as “illiberal” politics promoting dehumanization, exclusion, and inequality. Their theory of mainstreaming suggests that “the” far-right is a coherent entity that “enters” mainstream institutions or discourse from the outside. For these scholars, strengthening liberal-civic principles prevents far-right political power (mainstreaming). I call these approaches “grand theory templates,” which I critique for simplistic interpretations of power and for overlooking critical theory scholarship showing how liberalism accommodates far-right politics. Using the Canadian nationalist movement as a case study, I show how liberal chauvinism can be crucial to empowering right-wing populist movements. My data include over 40 hours of participant-observation at 20 right-wing events and 35 interviews with 42 current leaders and members of on-the-ground nationalist groups. Right-wing nationalists foregrounded liberal-civic ideas, such as “security,” “rights,” “objectivity,” and “tolerance,” to advance anti-Muslim sentiment and populist conspiracism. My findings suggest that far-right movements can gain power by embracing liberalism’s ambiguity and contradictions. In other words, mastering liberal messaging can be essential to the growth of far-right movements, challenging any easy dismissal of these politics as “illiberal.” Altogether, “top–down” grand theory templates oversimplify political distinctions and power, compromising research design and analysis. I advocate for more granular and “bottom–up” inductive approaches that prioritize sociological traditions over theories recently popularized by extremism scholars.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
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 head0.036
GPT teacher head0.362
Teacher spread0.326 · 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