Canada’s Right-Wing Extremists: Mapping their Ties, Location, and Ideas
Bibliographic record
Abstract
Canada has often been seen as a progressive country that is welcoming to immigrants, promotes multiculturalism, and generally as a kind and tolerant society. This study used a two-month close examination of Canada’s RWE online presence surrounding the 2019 federal election. Using social network analysis, this study fills a needed empirical gap in current understanding of this network that are known to produce and sustain domestic terrorism and extremist hate crimes in Canada. Then using both discourse and correspondence analysis, we find that Canada’s Right-Wing Extremists (RWEs) galvanize around the following key ideas: leftist-propensities towards violence, projecting especially views against the Antifa, anti-immigration, media corruption and dishonesty, anti-elite and anti-establishment values, anti-liberalism, populism, anti-LGBT, anti-environmentalism, biological determinism, white victimization, and anti-consumerism. By determining Canadian RWE’s ties, location and ideas our findings reveal that many RWE leaders are seen as authoritative for their views in the network and create content and community, potentially inciting active participation. As social contagion theory reminds us, these authorities in the RWE network may inspire others into concrete violent action and are of great concern to public safety.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, not a consensus.
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".