Universities, the Charter, Doug Ford, and Campus Free Speech
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
On a warm summer day at the end of August 2018, Ontario Premier Doug Ford’s office issued a press release announcing, “Ontario’s Government for the People is delivering on its promise to uphold free speech on every Ontario publicly-funded university and college campus.”1 An accompanying “Backgrounder” spelled out the details.2 Although this policy seems progressive on its face, it is actually anything but. That said, it may have the unintended but beneficial effect of bringing Ontario universities under the Canadian Charter of Rights and Freedoms.3 More about that later. First, the problems.
 
 * Distinguished Visiting Scholar and Director, Centre for Free Expression. Faculty of Communications & Design, Ryerson University.1 Office of the Premier, News Release: “Ontario Protects Free Speech on Campuses: Mandates Universities and Colleges to Introduce Free Speech Policy by January 1, 2019” (30 August 2018), online: Government of Ontario <news.ontario.ca/opo/en/2018/08/ontario-protects-free-speech-on-campuses.html> [Office of the Premier, “Ontario Protects”].2 See Office of the Premier, Backgrounder “Upholding Free Speech on Ontario’s University and College Campuses” (30 August 2018), online: Government of Ontario <news.ontario.ca/opo/en/2018/08/upholdingfree-speech-on-ontarios-university-and-college-campuses.html> [Office of the Premier, “Upholding Free Speech”].
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.076 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it