Bibliographic record
Abstract
In this chapter, the authors describe the changing role of telecommunications service providers (TSPs) from trusted stewards of clients’ personal information to “agents of the state”, from gatekeepers of privacy to active partners in the fight against cybercrime. It is argued that the legislative approach that has been or will soon be adopted in various jurisdictions around the world, including Canada, will lower the threshold of privacy protection and significantly alter the relationship between TSPs and the individuals who have come to depend on them to manage their personal information and private communications. The chapter begins with an investigation of the role of TSPs as information intermediaries, and then moves to examine a Canadian online search and seizure case, where a TSP acted as an “agent of the state” by sending to the police copies of a client’s personal emails without his knowledge or consent. The Council of Europe’s Convention on Cybercrime is considered next, focusing on the privacy implications of its potential implementation in Canada and the possibility of a challenge to the constitutionality of new cybercrime laws based on the Canadian Charter.
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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.030 |
| Scholarly communication | 0.019 | 0.013 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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".