Cost-effective ways of delivering enquiry services: a rapid review
Bibliographic record
Abstract
BACKGROUND: In the recent times of recession and budget cuts, it is more important than ever for library and information services to deliver cost-effective services. OBJECTIVES: This rapid review aims to examine the evidence for the most cost-effective ways of delivering enquiry services. METHODS: A literature search was conducted on LISA (Library and Information Sciences Abstracts) and MEDLINE. Searches were limited to 2007 onwards. RESULTS: Eight studies met the inclusion criteria. The studies covered hospital and academic libraries in the USA and Canada. Services analysed were 'point-of-care' librarian consultations, staffing models for reference desks and virtual/digital reference services. CONCLUSIONS: Transferable lessons, relevant to health library and information services generally, can be drawn from this rapid review. These suggest that 'point-of-care' librarians for primary care practitioners are a cost-effective way of answering questions. Reference desks can be cost-effectively staffed by student employees or general reference staff, although librarian referral must be provided for more complex and subject-specific enquiries. However, it is not possible to draw any conclusions on virtual/digital reference services because of the limited literature available. Further case analysis studies measuring specific services, particularly enquiry services within a health library and information context, are required.
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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 | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".