Results of a User Survey to Determine Needs for a Health Sciences Library Renovation
Bibliographic record
Abstract
The Health Sciences Library (HSL) at the University of Calgary serves the faculties of Medicine, Veterinary Medicine, and Nursing, and is the library for the staff, physicians, and patients of the Foothills Hospital. In August 2008, HSL was approached by the Faculty of Medicine requesting a significant portion of library space to accommodate an increase in undergraduate medical student enrollment. Despite initial concerns that the reduction of library space would be detrimental to all clients, the proposed changes actually benefited both parties involved. The Faculty of Medicine needed a lecture theatre, two 50-seat classrooms, and six small group rooms; whereas the library required a renovation to better accommodate the technological demands of current students and to provide a new learning-conducive environment for future generations of students, faculty, healthcare providers, and patients. To ensure that the HSL renovation met the needs of our clients, a brief opinion survey of five open-ended questions was designed and administered via electronic mail to all staff, students, and faculty served by HSL. In all, 170 survey responses were received. While comments made supported key themes discovered from the literature, they also provided HSL with a new perspective, resulting in design changes to better meet clients' needs.
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 | 0.016 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".