From social awareness to authoritarian other: The conservative weaponization of woke in Canadian parliamentary discourse
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.012 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".