The litany of suffering is still heard but not louder: A case study of clinical supervision to school libraries in Indonesia’s four provinces
Bibliographic record
Abstract
From 2002 through 2004, the National Library of Indonesia distributed block grants to 250 school libraries in the province of Central Java scattered in 10 districts, 150 school libraries in West Nusa Tenggara for 7 districts, 125 school libraries in South Sumatera in 5 districts while in the province of Bangka Belitung only to one municipality covering 25 school libraries. For three years, a school library which serves only one school received a block grant of 19 million rupiahs or approximately US $2000, while (multiple) school library which serves two or more schools received 29 million rupiahs or around US 3200 all for books. Beside that, there are trainings for library staffs conducted at the province capital as well as at the districts and supervision from the National Library. After three year implementation, the National Library set up two independent teams to evaluate the school library performance, block grant awardees. The first team consists of five consultant on education and librarianship while the second one is an independent consultant bureau. Among the findings are the rise of book usages among school children, rising initiatives among teacher cum teacher in charge of library to correlate the library activities with the class programme and communities’ activities, the provision of separate building for school library especially in South Sumatera. However there anxieties on the continuation of theschool libraries after the project is over, as not all grant-receiving-districts have enough budget to provide finances for the school library operations after the project is over.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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; 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".