A Hard Look in the Mirror: Re-imagining the Role of the Librarian at the Greater Victoria Public Library
Bibliographic record
Abstract
As an urban Canadian public library system, Greater Victoria Public Library was not alone in trying to define the role of librarians within the context of a changing digital landscape and a reality where patrons were no longer seeking out librarians for in-depth reference questions at a traditional reference desk. Situated on Vancouver Island in the southwest corner of British Columbia, Canada, GVPL is a multi-branch system that was looking for ways to define the role of librarians within branches, within the organization, and within the library sector as a whole. By creating a community-inspired model with librarians as leaders within portfolios rather than defined by the ages that they were delivering programs for, GVPL developed a framework for community engagement with librarians as key drivers in the ensuring the library remains innovative, sustainable and valued.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.046 | 0.039 |
| Scholarly communication | 0.026 | 0.018 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 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".