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Record W4312832133 · doi:10.20414/light.v2i1.5116

Revitalasi Layanan Sirkulasi Perpustakaan Perguruan Tinggi

2022· article· en· W4312832133 on OpenAlex
Isran Elnadi Margareta

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

VenueTHE LIGHT Journal of Librarianship and Information Science · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsVisitor patternCirculation (fluid dynamics)Service (business)Library circulationAutomationComputer scienceCollection developmentCenter (category theory)World Wide WebData collectionLibrary scienceLibrary automationMultimediaEngineeringBusinessMathematicsStatisticsMarketing

Abstract

fetched live from OpenAlex

This article discusses the revitalization of university library circulation services. The method used in thisarticle is a literature review. Materials that have been obtained through this literature review are collected,reviewed and then analyzed. Based on the results of the studies that have been carried out, it is found thatcirculation services are provided to assist users in finding information and speed up the process of borrowingback collections, because circulation services already use automation with the Slims application. Thepurpose of this circulation service is so that users can utilize the collection as much as possible,effectively, efficiently. The circulation service functions are, 1). Center for the preservation of science, 2).Learning center, 3). Teaching center, 4) Research center, 5) Information dissemination center. The servicesystem used is an open service system (open access), where the user is free to take the collection on theshelves as desired. Revitalization of this circulation service, can serve users in searching for information,ordering collections, borrowing library materials, calculating late collection fines, making visitor statistics,finding out statistics on borrowed collections to be fast, precise and accurate, improving service quality,meeting needs that cannot be met. done manually, increasing the effectiveness and efficiency of the libraryby using automation.

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 categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.939
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.015
Open science0.0020.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.259
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