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Record W4366210631 · doi:10.20961/evokasi.v1i1.345

STRATEGI PRESERVASI DAN KONSERVASI BAHAN PUSTAKA TERCETAK DI PERPUSTAKAAN STIE AUB (ADI UNGGUL BHIRAWA) SURAKARTA

2022· article· id· W4366210631 on OpenAlex

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

VenueEVOKASI Jurnal Kajian Administrasi dan Sosial Terapan · 2022
Typearticle
Languageid
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesArt

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan mengidentifikasi strategi penanganan perbaikan kerusakan bahan pustaka tercetak beserta faktor penyebab kerusakan dan kendala yang dihadapi pustakawan. Penelitian ini dilakukan dengan pendekatan kualitatif menggunakan studi literatur, observasi, dokumentasi, dan wawancara. Analisis data dilakukan dengan tahapan reduksi, penyajian data dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa strategi Perpustakaan STIE AUB untuk mencegah dari kerusakan tersebut antara lain memperbaiki cover yang terlepas, perbaikan halaman yang robek, dan perbaikan label buku yang rusak. Masih ditemukan beberapa faktor yang mengakibatkan kegiatan pelestarian tidak berjalan dengan maksimal, yaitu kurangnya pustakawan ahli preservasi, belum adanya kesadaran pemustaka menjaga kondisi fisik bahan pustaka, tidak ada alokasi anggaran, serta belum ada ruangan, alat, dan bahan pendukung kegiatan preservasi bahan pustaka tercetak. Walaupun terdapat hambatan, perpustakaan dapat memaksimalkan alat dan bahan minimum yang dimiliki perpustakaan untuk preservasi bahan pustaka tercetak secara maksimal. Strategi ini dapat digunakan untuk perpustakaan dengan keadaan yang serupa.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.004
Science and technology studies0.0040.002
Scholarly communication0.0030.003
Open science0.0110.003
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.273
Teacher spread0.238 · 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