Scoping reviews: establishing the role of the librarian
Bibliographic record
Abstract
Health librarians have made a significant and enduring contribution to knowledge syntheses through our work on systematic reviews as expert searchers [1], methodologists [2], and information managers [3]. The scoping review is now emerging as an alternative and increasingly popular method to synthesize the literature on a given topic. Many librarians have noticed this trend and (1) may be considering getting involved or (2) may wish to learn more but may not know where to start with the growing body of literature on this type of review.
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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 | 0.743 | 0.757 |
| Meta-epidemiology (narrow) | 0.003 | 0.007 |
| Meta-epidemiology (broad) | 0.011 | 0.003 |
| Bibliometrics | 0.046 | 0.024 |
| Science and technology studies | 0.020 | 0.062 |
| Scholarly communication | 0.073 | 0.075 |
| Open science | 0.012 | 0.046 |
| Research integrity | 0.033 | 0.030 |
| Insufficient payload (model declined to judge) | 0.006 | 0.008 |
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; the direct Gemma label and the distilled Codex classifier 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".