Attitudes and Self-Perceptions of School Librarians in Relations to their Professional Practices
Bibliographic record
Abstract
School librarians are not only managers of the school libraries, they are also educators, administrators, teaching consultants, information specialists, and information literacy teachers, etc. Unfortunately, in many countries, especially in Asia, there has always been a lack of understanding on the parts of the classroom teachers and school administration about the role of the school librarians in the public school system. Meanwhile, many novice school librarians do not have a clear understanding of the potential contributions of the school library programmes to students’ overall development process and their achievement, as well as their contributions to students’ overall enquiry-based learning as a whole. Furthermore, very little research is available on the attitudes and self-perceptions of the school librarians regarding their teaching role, in relation to enquiry-based learning for comparison. The study is designed to examine, explore and compare how school librarians in function between Hong Kong, Japan, Shanghai, South Korea, and Taipei, as well as how perceive their own status within the school community, by looking at their relationships with their principals and other classroom teachers.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".