Revamping an academic library with users’ voice: A pandemic response
Bibliographic record
Abstract
The author will discuss how a small academic library has incorporated user perspectives when redesigning and reimagining the library amid pandemic uncertainties. During the Fall of 2020, when the University of Calgary in Qatar (UCQ) library was reopening after the pandemic, the library space was moved to a much smaller space to accommodate additional physical space requirements for undergraduate classes. One of the immediate challenges of the library was to continue providing access to library resources with less disruption while keeping users informed of unexpected changes. The library primarily targeted keeping users informed of the changes and providing access to resources while following COVID safety guidelines. With Covid, the library had to quickly adapt to provide resources oriented toward online learning in addition to references and instructional services. That said, the library also faced limitations with the website for dynamic and frequent content changes and sharing certain resources like audio-visual materials. The library website was redesigned and migrated to a new platform with resources tailored for blended learning to overcome digital hindrances and enhance user engagement. As with the end of the academic term, the library conducted a user experience survey and informal discussions - with students, staff, and faculties - to compile feedback and perspectives on the physical and digital space of the library. We have brought extensive changes to the library by refurbishing study spaces, comfortable seating, unique reading corners, improved safety measures, revised policies, and additional technology resources. The inclusive approach of incorporating the user's voice while recognizing the administrative challenges can significantly impact the library's user experience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".