Violent crime, hate speech or terrorism? How Canada views and prosecutes far-right extremism (2001–2019)
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.
Bibliographic record
Abstract
Fifty-six individuals were charged with terrorism between December 2001 when Canada first enacted its antiterrorism criminal offences and December 2019. Not a single such individual was associated with a far-right group or espoused a far-right ideology. Over the same period of time, Canada saw a rise in far-right violence and crime, including several deadly attacks that raised the spectre of terrorism. This article seeks to identify why terrorism has not been associated with the activities of those on the far right, how Canada has prosecuted far-right violence if not for terrorism and what the implications are for Canada’s criminal prosecutions going forward. It finds that since December 2001 all publicly reported hate speech cases and cases where an individual’s sentence was aggravated for hate have involved individuals espousing far-right rhetoric; likewise, all but one case where the media raised the spectre of terrorism but no such charge ensued can be described as being motivated by far-right ideation. In the result, Canadian law punishes more seriously Al-Qaida (AQ)-inspired extremism than far-right extremism, while stigmatizing the former more than the latter. The time has thus come to tackle head-on the concept of ideology in Canadian criminal law, and how the law treats various ideologies.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it