Freedom of Expression and the Charter: 1982-2022
Bibliographic record
Abstract
In 2022, on the 40th anniversary of the Canadian Charter of Rights and Freedoms, I wrote a 5-part blog series that reviewed the Supreme Court of Canada’s s.2(b) jurisprudence. These blogs were published by the Centre for Free Expression (CFE) at Toronto Metropolitan University (TMU), and can be found on the CFE website (See author page: https://cfe.torontomu.ca/blog?issues=All&authors=117). The five blogs, which are consolidated here, begin with a comment on the Court’s 2021 landmark decisions in City of Toronto v. Ontario and Ward v. Quebec. The second blog shifts, providing a quantitative and qualitative survey of the jurisprudence, and is followed by the third blog’s analysis of Irwin Toy and the contextual approach, s.2(b)’s building blocks. The fourth blog addresses newsgathering, open court, and freedom of the press and media, leaving the fifth in the series to comment on s.2(b)’s future. In doing so, the final blog considers the role of positive obligations in the s.2(b) jurisprudence and sketches a proposal for the renewal of s.2(b)’s concepts of breach and jurisprudence.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.021 | 0.026 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".