The Library at Ryerson University: A Case Study in Relationship-Building and Academic Collaboration
Bibliographic record
Abstract
Ryerson University has grown from a relatively small polytechnical institute to a large comprehensive university, with a focus on innovation. The Library has transformed itself over the last decade by closely aligning strategic planning with University planning; embracing the entrepreneurial culture in its physical expansion and collaborative initiatives, and highlighting the expertise of its staff. The study outlines the steady progress through relationship-building in a culture of openness and a focus on common goals to reposition the library in the university’s academic mission. By 2017, a number of faculty and student library initiatives were underway, enhancing the library’s position as an innovator, and ensuring its continued high profile and strong reputation within the university and beyond. Examples include a digital media lab and collaboratory, a convergence of Archives, Special Collections, and the Digital Humanities centre, a leading role in Open Educational Resources, and an association with the University’s digital incubator.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.025 | 0.007 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".