Strategic Directions and Newer Dilemmas for Teacher-Librarians and School Library Resource Centres
Bibliographic record
Abstract
Once a leader in the provision of effective school library services, the Vancouver (British Columbia, Canada) School Board has seen its intellectual and material assets diminish with growing confusion about the role of the teacher-librarian, particularly with regard to information technologies. The investigator reviewed the current status of school library resource centres, including staffing, resources and use, to identify "revenue-neutral" improvements based on research evidence and best practice. In the course of the review several dilemmas emerged that challenged conventional wisdom regarding the delivery of school library services; these dilemmas are the focus of this paper.
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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 | 0.135 | 0.082 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.019 | 0.058 |
| Scholarly communication | 0.056 | 0.053 |
| Open science | 0.008 | 0.018 |
| Research integrity | 0.029 | 0.025 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".