KEGIATAN MAHASISWA UNIVERSITAS MUHAMMADIYAH PURWOICERTO PESERTA KKN TERPADU DI PERPUSTAKAAN SEKOLAH DI WILAYAH KABUPATEN BANYUMAS
Bibliographic record
Abstract
This research is aimed to find out the kinds of students' contribution at some schools' libraries. This research was done Public Service Unit of Muhammadiyah University from March — May 2007. The method used in this research is by analysing the documents as the final report of Public Field Work Based on the result of the research, it can be concluded that the students' contributions can be both technical and financial aids. The technical aids, such as: room management, inventarization, classification, catalogue, making book card, making member card, putting the book label, giving the book cover, putting the data in computer, book shelfing, arranging the wall paper an doing the administration as well as circulation service. The financial aid was Rp. 3,134,850 used to buy the libraries' needs, including books, bookselves, paint and writing utensils. Key words: shoots' libraries.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.046 | 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".