Optimalisasi Layanan Anak Melalui Kegiatan Wisata Literasi di Dinas Kearsipan dan Peprustakaan Provinsi Sumatera Barat
Bibliographic record
Abstract
The West Sumatra Provincial Archives and Libraries Office, as an institution with responsibility for literacy development in the region, is required to continue to innovate in providing services that suit the needs and characteristics of children's libraries. The main goal is to increase children's interest in reading and introduce them to the world of literacy in a fun way. We also want to create positive experiences so that children are more interested in returning to the library. The literacy tourism program comes as a creative solution that combines elements of education and recreation, creating a fun learning experience for children. This research used a qualitative approach with descriptive methods. Data analysis used an interactive model, which consists of three main stages; data condensation, data presentation, conclusion drawing. The results of this study show strategic efforts in increasing children's interest in reading and literacy in the West Sumatra region. The literacy tourism program emerged as an innovative solution that combines learning elements with recreational activities, creating a fun experience for children in interacting with books and literacy activities.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".