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Record W4406143571 · doi:10.1075/jlp.24126.mcc

From social awareness to authoritarian other

2025· article· en· W4406143571 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Language and Politics · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Deviance, and Social Control
Canadian institutionsUniversity of New BrunswickUniversity of Ottawa
Fundersnot available
KeywordsMoral panicAuthoritarianismFraming (construction)DemocracyIdeologyPoliticsLegitimacySociologyCritical discourse analysisPolitical sciencePolitical economyLaw

Abstract

fetched live from OpenAlex

This study examines the evolution of (anti)woke discourse in debates within the Canadian House of Commons from 2019 to 2023, analyzing how “conceptual flipsiding” and moral panic operate to transform democratic language into tools of illiberal politics. Our critical discourse analysis of Hansard transcripts identifies three key themes: the semantic shift of woke from social awareness to authoritarianism, the strategic redefinition of woke by Conservative MPs — led by party leader Pierre Poilievre — to construct a moral panic around an anti-Canadian ideological Other, and inadequate attempts by MPs from other parties to challenge this negative framing. We argue that the discursive weaponization of woke demonstrates how political actors appropriate and invert democratic language to advance illiberal agendas while maintaining democratic legitimacy. This Canadian case illuminates broader patterns in how democratic language is manipulated across national contexts while revealing how ineffective counter-frames can inadvertently legitimize anti-democratic action within democratic institutions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.377
Teacher spread0.356 · 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