The perilous prerogative: An argument for legislating defence intelligence in Canada
Bibliographic record
Abstract
Abstract The National Security and Intelligence Committee of Parliamentarians (NSICOP) has twice reviewed the intelligence activities of CAF/DND and recommended the government provide explicit legislative authority for those activities. In “Defence intelligence and the Crown prerogative in Canada,” Philippe Lagassé rebukes NSICOP's argument and defends the continued reliance on the Crown prerogative. This article proposes that the critiques raised by Lagassé minimize the importance of the legal and operational concerns raised by NSICOP and do not reflect the legal history of Canadian intelligence activities. It also introduces the argument that the DND/CAF may no longer rely on the Crown prerogative for signals intelligence.
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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 | 0.009 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.033 | 0.023 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.009 | 0.014 |
| Insufficient payload (model declined to judge) | 0.009 | 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".