Showcasing Institutional Research: Curating Library Exhibits to Support Scholarly Communication
Bibliographic record
Abstract
INTRODUCTION To support faculty in communicating their research outcomes to the academic community and the wider public, the Royal Roads University (RRU) Library established Showcase, a physical venue in the library designed to promote institutional research. While professional literature mainly focuses on the use of library exhibits for outreach and community engagement, more literature is needed on applying museum interpretation practices to the development of library exhibits, and the use of library exhibits for knowledge mobilization of research outcomes and promotion of institutional scholarship to the wider community. DESCRIPTION OF SERVICE This article discusses the Royal Roads University Library’s practices to develop the ‘Showcase’ brand by curating research-based exhibits as a scholarly communication initiative to support institutional research dissemination. It provides a brief description of the Showcase venue and infrastructure. It then describes the processes, challenges, and lessons learned in developing three research exhibits, that is, 1) cultivating faculty partnerships; 2) reformatting academic research to multimedia formats; and 3) integrating technology to showcase scholarship. NEXT STEPS It concludes by outlining the next steps for developing this initiative and the practice of curating academic research exhibits.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.010 | 0.039 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".