A Comeback Library: Re-establishing a Library Presence in a Diverse Regional Campus
Bibliographic record
Abstract
This article describes the use of evidence to inform the development and growth of library services on a regional campus in the diverse city of Stockton, California.The Stockton Campus Library (SCL) at the Stockton Campus, a regional campus of the California State University (CSU), Stanislaus, serves nearly 12% of the school's 8,847 FTE student population, and serves 20 full-time Stockton based faculty (California State University, Stanislaus [CSU], 2021).CSU Stanislaus is a Hispanic-serving and minoritymajority university with ethnic minorities making up 70% of total enrollment and three-fourths of our undergraduates are first-generation students.Out of the Stockton students enrolled in fall 2021, 48% are Hispanic/Latino, 17% are Asian, 8% are Black/African American, and 24% are first-generation students (CSU, Stanislaus, 2021).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.684 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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, 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".