Bibliographic record
Abstract
This article presents an in-depth analysis of Canadian university publications in 2023, conducted through a Scopus search for "Canada." The research provides insights into prominent academic associations, with University of Toronto leading at 19,960 publications, followed by University of British Columbia (11,658) and Université McGill (9,123). Engineering and Medicine emerge as leading disciplines, with significant collaborative efforts observed in interdisciplinary research and Environmental Science. Private institutions such as Trinity Western University and University Canada West demonstrate vibrant research atmospheres, particularly in Business, Management, Accounting, and Computer Science. The investigation offers an overview of research environments, highlighting collaboration patterns and areas of specialization within both public and private academia.
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 | 0.100 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.208 | 0.305 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.012 | 0.000 |
| Open science | 0.007 | 0.008 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 0.009 |
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; both teacher heads agree on what is shown here.
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".