Implementation of a fee-based service model to university-affiliated researchers at the University of Alberta
Bibliographic record
Abstract
BACKGROUND: There is growing demand for specialized services in academic libraries, including supporting systematic reviews and measuring research impact. STUDY PURPOSE: The John W. Scott Health Sciences Library implemented a fee-based pilot project for the Faculty of Nursing for one year to test a fee-based model for specialized services, to evaluate its sustainability and scalability for the longer term, and to assess the feasibility of extending this service model to other health sciences faculties. CASE PRESENTATION: We describe the development and delivery of the fee-based service model. Through a team-based approach, we successfully provided specialized services including mediated literature searching, research support, and research impact analyses to the Faculty of Nursing. DISCUSSION: Despite some challenges in developing and implementing the fee-based service model, our pilot project demonstrated demand for fee-based specialized services in the health sciences and suggests potential for this unique service model to continue and expand.
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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 | 0.041 | 0.056 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".