Bill C-59, an Act Respecting National Security Matters: What It Does and Why It Matters
Bibliographic record
Abstract
Forum Introduction to Special Edition of the Alberta Law Review on Bill C-59: An Act Respecting National Security Matters passed into law in June 2019. It is no exaggeration to say that this is the most wide-reaching and important update to Canada’s national security legal framework and organizational structure since at least 1984, when the Canadian Security Intelligence Service Act hived off the security and intelligence functions of the Royal Canadian Mounted Police (RCMP) to create the Canadian Security and Intelligence Service (CSIS). Among other things, the ATA 2017 created an entirely new oversight body in the form of the Intelligence Commissioner (IC), radically redesigned intelligence review, reformed and added new lines of operations for the Communications Security Establishment (CSE) including brand-new offensive and defensive cyber authorities, and made substantial changes to the breadth and scope of the information CSIS can collect. These changes will assuredly be both vital to the protection of Canadian national security and controversial with regards to the civil liberties of Canadians in the years to come.
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.
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 | 0.007 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.017 | 0.015 |
| Insufficient payload (model declined to judge) | 0.012 | 0.004 |
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".