Using Large-Scale Assessments to Evaluate the Effectiveness of School Library Programs in California
Bibliographic record
Abstract
This California study examined the relationship between the presence of school libraries, as defined by credentialed staffing, and student achievement, as measured by both criterionreferenced and norm-referenced assessments in both English-language arts and mathematics. Using the California School Characteristics Index to compare 4,022 schools with similar demographics at Grades 4, 7, and 10, both positive and negative statistically significant relationships were found between the presence of a school library and student achievement at Grades 4 and 7. There were no statistically significant positive relationships found at Grade 10. These findings do not support previous studies that used different methods of comparing schools with similar demographics. Also unlike previous studies, the overall effect sizes of the positive relationships were small, the average being an increase in student achievement of 2%. Factors within the school library at Grades 4 and 7 were also examined, and both positive and negative statistically significant relationships to student achievement were found.
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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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".