Criminalizing Terrorism in Canada: Investigating the Sentencing Outcomes of Terrorist Offenders from 1963 to 2010
Bibliographic record
Abstract
Despite having endured significant terrorist incidents over the past 50 years, terrorism-specific offenses were not criminalized in Canada until the implementation of the Anti-Terrorism Act (ATA) in 2001. One of the primary goals of this legislation was to provide law enforcement with the tools necessary to proactively prevent terrorist incidents; however, the effectiveness of these new legal measures in preventing terrorist incidents, and the potential for the increased punishment of offenders sanctioned under them, remains unclear. Using a sample of convicted terrorist offenders (n = 153) from the Officially Adjudicated Terrorists in Canada (OATC) dataset, the current study investigates variability in the sentencing outcomes of offenders sanctioned in Canada between 1963 and 2010. The findings indicate that offenders were significantly less likely to successfully complete an offense following the implementation of the ATA; however, offenders previously convicted of general Criminal Code offenses were sanctioned more harshly than those convicted of terrorism-specific offenses alone. Furthermore, changes in the legal processing, and demographic structure, of terrorist offenders are uncovered as the findings highlight how changing contextual environments impact the sentencing outcomes of terrorist offenders.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| 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".