The case of the disappearing librarians: analyzing documentation of librarians’ contributions to systematic reviews
Bibliographic record
Abstract
Objective: The study aimed to analyze the documented role of a librarian in published systematic reviews and meta-analyses whose registered protocols mentioned librarian involvement. The intention was to identify how, or if, librarians' involvement was formally documented, how their contributions were described, and if there were any potential connections between this documentation and basic metrics of search reproducibility and quality. Methods: Reviews whose PROSPERO protocols were registered in 2017 and 2018 and that also specifically mentioned a librarian were analyzed for documentation of the librarian's involvement. Language describing the librarian and their involvement was gathered and coded, and additional information about the review, including search strategy details, was also collected. Results: A total of 209 reviews were found and analyzed. Of these, 28% had a librarian co-author, 41% named a librarian in the acknowledgements section, and 78% mentioned the contribution of a librarian within the body of the review. However, mentions of a librarian within the review were often generic ("a librarian") and in 31% of all reviews analyzed no librarian was specified by name. In 9% of the reviews, there was no reference to a librarian found at all. Language about librarians' contributions usually only referenced their work with search strategy development. Reviews with librarian coauthors typically described the librarian's work in active voice centering the librarian, unlike reviews without librarian coauthors. Most reviews had reproducible search strategies that utilized subject headings and keywords, but some had flawed or missing strategies. Conclusion: Even among this set of reviews, where librarian involvement was specified at the protocol level, librarians' contributions were often described with minimal, or even no, language in the final published review. Much room for improvement appears to remain in terms of how librarians' work is documented.
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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 | 0.122 | 0.265 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".