Contact: Director, Marketing Communications Office
Bibliographic record
Abstract
Reason for Policy 1.1 The University of Manitoba has a strong interest in protecting and regulating the representation of its name, logo and related insignia which, taken as a whole, represent the University's signature. 1.2 Maintaining excellent standards in how the University of Manitoba is represented visually reflects our overall commitment to excellence in every facet of what we do. A clear and consistent University identity assists students, community members and the public in identifying University programs, services and initiatives. This serves to enhance the University's reputation, leverages quick recognition, demonstrates organizational purpose and accountability, and facilitates greater efficiencies in resources and management. 1.3 The purposes of this Policy are to: (a) provide the framework for the regulation of the quality and uniformity of the University's image in both internal and external representations; (b) ensure that parties who have received permission to use the University's name, logo and/or related insignia do so in a manner which is consistent with the reputation and future orientation of the University; and (c) set standards related to the content, presentation and technology used in the development of University web pages.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.015 | 0.005 |
| Insufficient payload (model declined to judge) | 0.719 | 0.711 |
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".