Bibliographic record
Abstract
Reason for Policy 1.1 To honour former Chancellors of the University of Manitoba who rendered distinguished service while serving as Chancellor. Part II Policy Content 2.1 The title of Chancellor Emeritus/Emerita may be conferred on an individual who has served as Chancellor of the University for at least three years. Individuals so honoured must have rendered distinguished service to the University during the term of office. 2.2 The honour is the most important aspect of this title, which will be conferred during convocation. 2.3 The appointment of Chancellor Emeritus/Emerita is for life. 2.4 It is expected that those named Chancellor Emeritus/Emerita will continue to be a friend of the University of Manitoba in the greater community. 2.5 The Board of Governors shall approve nominations for Chancellor Emeritus/Emerita based on recommendation from the Senate. Any consideration of a nomination for Chancellor Emeritus/Emerita by the Board of Governors or the Senate shall be considered in closed session. 2.6 Nominations for Chancellor Emeritus/Emerita may be made by any member of Senate or the Board of Governors. Nominations shall be submitted in confidence to the University Secretary. Part III Accountability
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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.403 | 0.236 |
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; the direct Gemma label and the distilled Codex classifier 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".