School Library Research in the Real World—What Does it Really Take?
Bibliographic record
Abstract
School libraries are perceived to have a significant effect on student achievement. The reality is that evidence supporting the effects of school libraries on student achievement remains unconvincing to many serious researchers. In this paper, we provide a systematic review of 25 years of school library research examining student achievement. Results indicate that of over 260 studies, fewer than 27 approach the minimum requirements of research design. The unembellished truth is that most school library studies suffer from limitations of design, measurement, and analysis. To address such limitations, we built multiple statistical models based on six years of school-level data reflecting all public schools in New York State. We highlight key challenges of quantitative research: design, indicators, measurement and analysis approaches as they apply to ours and other school library research and share initial results from our study examining the causal relationships among school librarians, resources, activities and student achievement.
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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 | 0.132 | 0.299 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.010 | 0.015 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.022 | 0.031 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".