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Record W4406110889 · doi:10.31849/pb.v12i1.24306

Optimalisasi Layanan Anak Melalui Kegiatan Wisata Literasi di Dinas Kearsipan dan Peprustakaan Provinsi Sumatera Barat

2025· article· en· W4406110889 on OpenAlex
Fanisa Amelita Zahra, Putri Yefani, Firly Oktami Nisa, Elva Rahmah, Rozi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Pustaka Budaya · 2025
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.302
Teacher spread0.285 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it