Increasing Student Engagement in a Re-opened Regional Campus Library: Results from a Student Focus Group
Bibliographic record
Abstract
SettingThis article describes the Stockton Campus Library's challenges in increasing student engagement in the library, and the development of a student focus group used to aid in library space, service, and collection planning and design.The Stockton Campus Library (SCL) services students at the California State University (CSU), Stanislaus, which is a Hispanic Serving Institution-an accredited institution in the United States with at least 25% full-time enrolled undergraduate Hispanic students (U.S.Department of Education, 2023).The Stockton Campus is the only 4-year public institution in Stockton, a city with a population of over 320,000 residents (U.S. Census Bureau, 2023).In fall 2022, the Stockton Campus served 11% of CSU Stanislaus' full-time enrolment student population (Stanislaus State, 2023).Our student population is diverse; 64% of Stockton Campus students are first generation students (i.e., students whose parents did not complete a 4-year college degree or a university degree), 72% are women, 58% are Hispanic/Latino/a, 13% are Asian, and 5% are Black/African American (Stanislaus State, 2023).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".