Bibliographic record
Abstract
Under the Canadian constitution, responsibility for education is assigned to the provinces. In some provinces, universities are based in institution-specific statutes, in others, in system-wide legislation. Except for the provinces of Alberta and British Columbia, the provinces leave the quality assurance of academic activities to the universities. In the last 15 years, the post-secondary landscape has become more complex. Four provinces have enabled non-degree-granting colleges to offer specific degree programs on the basis of government approval; three have transformed colleges into universities; four permit external universities, public and private, and new private universities based in Canada to offer programs. Though the innovative provinces established quality assurance agencies to screen programs and organizations, the new degrees met resistance from many public universities, which, in the absence of a national accrediting body, took the position that they would only recognize degrees from institutions belonging to their own promotional national body, the Association of Universities and Colleges of Canada (AUCC). Though the new agencies have published both academic standards and rigorous external review procedures, this response from the public universities in effect marginalized the new degree programs and providers. Thus, the state of quality assurance in higher education in Canada is in a state of flux. This article reviews the state of quality assurance activity across the country in both public universities and in the new quality assurance agencies. It concludes with reflections on the challenge of inserting new degrees and new kinds of degree-granting institutions into a framework of academic legitimacy that all players will accept.
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 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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".