Organizational Structure Around Web-Scale Discovery Services in Canadian Academic Libraries
Bibliographic record
Abstract
This study analyzed how Canadian post-secondary libraries have managed and administered their web-scale discovery service and how adopting a discovery service has changed the traditional boundaries of standard library functions. Through a combination of survey responses and semi-structured interviews, the author investigated how Canadian academic libraries organized around their web-scale discovery service. Academic libraries can manage their discovery service from a Technical Services unit, a Library Systems, or a Web Services department, or by a committee. However, there is consensus that a discovery service requires collaboration and cooperation among many functional areas. Discovery service leaders often have organizational awareness to break down the silos between traditional library functions to perform the various duties related to managing and administering their web-scale discovery service. Individuals responsible for their discovery service are flexible and work collaboratively with staff in many different areas and often have a strong user-centred focus.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.008 | 0.014 |
| Science and technology studies | 0.031 | 0.013 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".