Bill C-59 and CSIS’s “New” Powers to Disrupt Terrorists Threats: Holding the Charter-Limiting Regime to (Constitutional) Account
Bibliographic record
Abstract
In 2017, the Liberal government released Bill C-59, which was its update to the national security legislation that was introduced by the previous government via Bill C-51. Bill C-59’s goal was to address the criticisms of its predecessor, including the new “kinetic” powers granted to the Canadian Security and Intelligence Service (CSIS) to actively disrupt threats to the security of Canada. While Bill C-59 made some improvements to ensure that CSIS’s new powers are exercised in accordance with the Charter, there are still deficiencies to be addressed. This article reviews the changes brought in with Bill C-59, examines how those amendments may not avoid constitutional challenge, and outlines what a section 1 Oakes justification may look like. Ultimately, to address the Charter implications of the new legislation, further changes are required, including the use of court-appointed special advocates to ensure an adversarial system and further oversight of CSIS’s new, disruptive authority.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.020 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.015 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".