Benchmarking veterinary librarians’ participation in systematic reviews and scoping reviews
Bibliographic record
Abstract
OBJECTIVES: The objectives of this study were to benchmark roles that veterinary librarians at universities and colleges play in systematic reviews (SRs) and scoping reviews that are conducted by faculty and students at their institutions, to benchmark the level of training that veterinary librarians have in conducting SRs, to identify barriers to their participation in SRs, and to identify other types of literature reviews that veterinary librarians participate in. METHODS: Sixty veterinary librarians in universities and colleges in Canada, the United States, England, Scotland, Ireland, Australia, and New Zealand were surveyed online about their roles and training in conducting SRs, barriers to participation in SRs, and participation in other types of literature reviews. RESULTS: Veterinary librarians' highest participation was at an advising level in traditional librarian roles as question formulator, database selector, search strategy developer, and reference manager. Most respondents reported pretty good to extensive training in traditional roles and no or some training in less traditional roles. Sixty percent of respondents received few or no requests to participate in SRs, and only half of respondents had participated in SRs as a review team member. Sixty percent of respondents stated that their libraries had no policies regarding librarian roles and participation in SRs. CONCLUSIONS: The surveyed veterinary librarians participated in SRs to a lesser degree than human health sciences librarians, experienced low demand from veterinary faculty and students to participate in SRs, and participated as review team members at significantly lower rates than human health sciences librarians. The main barriers to participation in SRs were lack of library policies, insufficient training, and lack of time.
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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 | 0.184 | 0.139 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".