Factors Hindering High School Library Success as Viewed by Librarians, Teachers and Principals in Israel
Bibliographic record
Abstract
The paper presents findings of a wide-scale national study of which one objective was to identify main obstacles hindering high school librarians from successfully carrying out their tasks. Similar detailed questionnaires were mailed to librarians, teachers and principals in a cluster sample of 234 schools (one-third of target population), rendering 137 usable questionnaires (58.5%). The three groups rated quite similarly the obstacles. First and foremost were the scarcities of resources and manpower. Third was inadequate professional training, which was found to include: inadequate training in information technology and in librarianship, scarce skills in management, communication and public relations, as well as lack of training in instruction and lack of familiarity with curriculum and its development. Fourth was the principal's and teaching staff's lack of awareness and recognition of library importance, also acknowledged by principals and teachers. Additional obstacles mentioned were poor physical conditions, discipline problems and the character of the librarian and staff. Recommendations include: promoting understanding of school library and librarian roles by writing Israeli Information Power and by offering courses to principals and teachers on school library's roles, adding personnel positions in school libraries and emphasizing technological topics in library education programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.041 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".