Senior Management and the Provision of Libraries in Independent Schools in
Bibliographic record
Abstract
This article is based on research carried out for an ongoing doctoral project at Liverpool John Moores University about the management of school libraries in independent schools in England and Wales. Findings are based on surveys conducted of school library managers and senior management in independent schools, as well as interviews with practitioners and anecdotal evidence from networks of school librarians. In coun-tries such as Canada, the United States, and Australia, the importance of head teachers’ support for the library has long been acknowledged, but in the United Kingdom, this is more recent. Current guidelines for best practice in school library management have recently started to emphasize the importance of the support of school senior manage-ment. The surveys separately sought the opinions of both librarians and senior management on a range of library-related issues, and these are analyzed in this article. The findings demonstrate that school library managers understand the importance of the role of senior management and that senior management is starting to appreciate the importance of the library for improving learning, teaching, and attainment.
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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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".