Law, Privacy and Surveillance in Canada in the Post-Snowden Era
Bibliographic record
Abstract
Years of surveillance-related leaks from US whistleblower Edward Snowden have fuelled an international debate on privacy, spying, and Internet surveillance. Much of the focus has centered on the role of the US National Security Agency, yet there is an important Canadian side to the story. The Communications Security Establishment, the Canadian counterpart to the NSA, has played an active role in surveillance activities both at home and abroad, raising a host of challenging legal and policy questions. With contributions by leading experts in the field, Law, Privacy and Surveillance in Canada in the Post-Snowden Era is the right book at the right time: From the effectiveness of accountability and oversight programs to the legal issues raised by metadata collection to the privacy challenges surrounding new technologies, this book explores current issues torn from the headlines with a uniquely Canadian perspective.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.035 | 0.021 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| 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".