The Influence of Teacher Librarians' Personal Attributes and Relationship with the School Community in Developing a School Library Programme
Bibliographic record
Abstract
The ability of teacher librarians worldwide to develop and maintain school library programmes has been severely constrained by a number of factors ranging from inadequate budgetary allocations, lack of support from principals and other key stakeholders such as Ministry of Education personnel. However, even with limited funding and support, some teacher librarians have used ingenious strategies to develop and maintain their library programmes. This literature review synthesizes international research obtained from peer-reviewed journals, theses and professional papers on the personal attributes that a teacher librarian should possess in order to influence the development of a school library programme and the types of relationships the teacher librarian need to have with key stakeholders to be successful. The literature examined spanned a time period mostly from 2000-2018. The literature review found that leadership, collaboration, communication and interpersonal skills were the dominant skills a teacher librarian should possess in order to develop and maintain a school library programme alongside a good relationship with the school community.
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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 | 0.010 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".