Trends in Canadian faculties of education: An overview of graduate programs, curricular offerings, exit requirements, and modes of delivery.
Bibliographic record
Abstract
Introduction This research investigated universities registered with the Association of Universities and Colleges of Canada (AUCC) whose primary instructional language was English. A content analysis was performed on university web pages related to the following content: (a) frequency of graduate programs being offered, (b) types of degrees being offered, (c) frequency and variation of program of study offerings, (d) variation of exit requirements, and (e) modalities of course delivery. This research provides an overview and analysis of graduate level programs, more precisely Masters and Doctorate degrees, offered through faculties of education in Canada. An understanding of the findings of this research may benefit Canadian university administrative bodies in providing a source in which they may compare findings with their current offerings and programming. Prospective students of graduate programs in education may also benefit from the information provided in this study when choosing a program of study by ameliorating their knowledge of current programs, curriculum offerings, and modes of course delivery being offered by faculties of education in Canada.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".