Evidence-based practice: A practice towards leadership credibility among school librarians
Bibliographic record
Abstract
This paper examines the potential influence of evidence-based practice (EBP) in school libraries in affirming the role of the school librarian as leader. We begin with an examination of the most recently added role of effective school librarians, that of leader, and provide an overview of the current interpretation of this role. We then proceed with an introduction to the use of EBPs in school libraries, with an emphasis on the relationship of EBPs to student achievement. We articulate a potential relationship of EBP to building leadership credibility among school librarians by presenting examples of the use of EBP in linking student achievement to school library programs.
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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 | 0.281 | 0.392 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.012 | 0.004 |
| Science and technology studies | 0.010 | 0.065 |
| Scholarly communication | 0.028 | 0.024 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.013 | 0.018 |
| 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".