Not Virtual Enough: A Virtual Library’s Challenges During the COVID-19 Pandemic
Bibliographic record
Abstract
As part of the University of Manitoba Libraries Outreach Services, the Winnipeg Regional Health Authority (WRHA) Virtual Library provides library services to hospitals, health centres, community health agencies, and personal care homes throughout the city of Winnipeg, Manitoba. All services of the WRHA Virtual Library, including the collection, are entirely virtual, though staff are physically located in the University’s health library. In March 2020, shortly after the World Health Organization declared the novel coronavirus disease (COVID-19) pandemic, libraries around the world started closing their doors and staff were required to work from home. The virtual infrastructure of our services and collections required no changes in how our patrons accessed the Virtual Library and a smooth transition was expected, but the sudden shift to working from home revealed gaps. This article discusses the unique experience of the WRHA Virtual Library transitioning to a completely virtual environment, the previous reliance on the University’s physical infrastructure, and the inequities identified between librarians and library technicians.
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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 | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.039 | 0.011 |
| Scholarly communication | 0.020 | 0.015 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.010 | 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".