ENGAGING AN ENTIRE UNIVERSITY IN AGE-FRIENDLY UNIVERSITY PRINCIPLES
Bibliographic record
Abstract
The Centre on Aging at the University of Manitoba, as a research centre, has a 30+ year history of conducting and disseminating research on aging, as well as training students in research and aging. In May of 2016 the University of Manitoba officially endorsed the Age-Friendly University Principles, becoming the first University in Canada to do so. While the University of Manitoba is already actively engaged in all ten principles, this initiative brings the impetus to take a more concerted approach to enhance all of its activities. The presentation will outline what approach the University of Manitoba has taken to enhance its age-friendliness, including its reach across campus and to the broader community, and who the key individuals and departments have been in these efforts.
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 | 0.043 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.030 | 0.021 |
| Scholarly communication | 0.018 | 0.012 |
| Open science | 0.003 | 0.030 |
| Research integrity | 0.008 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 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".