The Role of the School library and the School librarian in the context of new curricula
Bibliographic record
Abstract
Concerning the development and the opportunities provided by new technologies and changes in social reality, the task of educational staff is to raise and educate responsible participants in the learning process adaptable to new situations of learning in the digital age, the age of vast information, and therefore be prepared for life-long learning. As school librarians are recognised as educated and essential collaborators in this task, which is common to all educational staff, it is necessary to operationalise their role in the educational system in Croatia and encourage development of new curricula. This paper proposes a framework for a programme, which has a starting point in new subject curricula and extra-curricula topics. It starts from the constructivist approach of teaching where at the core are students who do not memorize facts but are capable of solving problems through active research and interaction with information and thus creating new knowledge. This approach encourages students to be critical thinkers, express themselves freely, be creative and strengthen their confidence in their quest to acquire competencies that develop the proposed framework for a library programme in information and media literacy education, and promoting reading.
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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 | 0.025 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.025 | 0.029 |
| Scholarly communication | 0.035 | 0.020 |
| Open science | 0.003 | 0.024 |
| Research integrity | 0.009 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.004 |
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".