The academic librarian as co‐investigator on an interprofessional primary research team: a case study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to explore the role librarians play on research teams. The experiences of a librarian and a faculty member are situated within the wider literature addressing collaborations between health science librarians and research faculty. METHODS: A case study approach is used to outline the involvement of a librarian on a team created to investigate the best practices for integrating nurses into the workplace during their first year of practice. RESULTS: Librarians contribute to research teams including expertise in the entire process of knowledge development and dissemination including the ability to navigate issues related to copyright and open access policies of funding agencies. DISCUSSION: The librarian reviews the various tasks performed as part of the research team ranging from the grant application, to working on the initial literature review as well as the subsequent manuscripts that emerged from the primary research. The motivations for joining the research team, including authorship and relationship building, are also discussed. Recommendations are also made in terms of how librarians could increase their participation on research teams. CONCLUSION: The study shows that librarians can play a key role on interprofessional primary research teams.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.029 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.001 |
| Scholarly communication | 0.001 | 0.009 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.007 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it