School library as an integrated information and educational space of the modern school
Bibliographic record
Abstract
Nazarbayev Intellectual Schools (NIS) are established to become an experimental platform that develops, monitors, studies, analyzes, tests, and implements modern models of educational programs by levels. Accordingly, as an important part of the school, one of the main goals of NIS libraries is to comply with international standards of school libraries, to improve professional qualifications, to facilitate the implementation of the mission and objectives of the school. For this, it is necessary to shift away from traditional methods and established stereotypes and raise libraries to the modern international level. This article offers an introduction to working methods of the libraries of the Intellectual Schools, which include developing students’ reading skills, use of games to motivate students to read, the development of critical thinking skills of students. NIS librarians use game methods, festivals and activities to promote reading among students, which enables the teacher-librarians to raise children's confidence and gain pleasure from reading, discover reading choices, provide children with opportunities to share their reading experience and to raise the status of reading as a creative activity. There are also various library projects, clubs and actions, which motivate students to read and instill in students the love of reading. The libraries provide students with resources for learning and reading. They are welcoming and flexible, reader-friendly environments including different zones for research, independent and collaborative work with colours, materials and layout designed to provide safe and accessible places conducive to learning and 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".