Incorporating Branded Academic Library Programming to Promote and Showcase Campus Research and Artistic Performances
Bibliographic record
Abstract
Academic libraries play a crucial role in the scholarship cycle. In addition to serving as a traditional study space, a university's community depends on their libraries to acquire and provide access to resources to support the research and instruction interests of faculty and students. In these ways, academic libraries support the cyclical nature of scholarship by collecting resources that are themselves both the tools necessary for generating future scholarship, and the outputs of past scholarship. This article focuses on two successful library-sponsored programs at the Z. Smith Reynolds Library at Wake Forest University. Its Library Lecture Series, which promotes faculty research and scholarship, and its Senior Showcase, which celebrates senior undergraduates’ research, have become a part of the cyclical scholarship cycle. Library-hosted programming that draws attention to the broad array of scholarship created on university campuses offers and provides opportunities for strengthening academic libraries’ relationships with their faculty, staff, student, and community users.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.027 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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; a candidate call from one teacher head, not a consensus.
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".