Bibliometric Analysis of Librarian Involvement in Systematic Reviews at the University of Alberta
Bibliographic record
Abstract
Introduction: It is well documented that librarian involvement in systematic reviews generally increases quality of reporting and the review overall. We used bibliometric analysis methods to analyze the level of librarian involvement in systematic reviews conducted at the University of Alberta (U of A). Methods: ) screening for level of librarian involvement (acknowledgement, co-author, or no involvement). Results: ) no librarian involvement. We identified 152 reviews who named a librarian as a co-author on the paper, 125 reviews named a librarian in the acknowledgements section, and 67 reviews mentioned a librarian in the body of the review without naming them as a co-author or in an acknowledgement. WoS Research Areas were used to identify disciplines that used librarian support and those that did not. A keyword network analysis revealed research areas that were very active in producing systematic reviews, while also providing information on the areas publishing systematic reviews without librarian support. Conclusion: There is a great deal of variation in how the work of librarians is reflected in systematic reviews. This was particularly apparent in reviews where a librarian was mentioned in the body of the review but they were not named as an author or formally acknowledged. Continuing to educate researchers about the work of librarians is crucial to fully represent the value librarians bring to systematic reviews. Bibliometric analysis provides useful insights on service gaps for specific disciplines or research areas that are currently not using librarian support in systematic review publications, which can help inform service planning.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | MetaresearchBibliometrics Domain: Methods · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Other design | high |
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 | 0.030 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.010 | 0.032 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".