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Record W3091162251 · doi:10.24036/107324-0934

Pemanfaatan Sumber Informasi oleh Pemustaka di Dinas Perpustakaan dan Kearsipan Kota Padang

2019· article· en· W3091162251 on OpenAlexaff
Husnil Fauziah, Nurizzati Nurizzati

Bibliographic record

VenueIlmu Informasi Perpustakaan dan Kearsipan · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsService (business)Library scienceEncyclopediaWorld Wide WebData collectionInformation needsInformation source (mathematics)Computer scienceSociologyBusinessMathematics

Abstract

fetched live from OpenAlex

Abstract The writing of this paper seeks to describe the use of information resources by users at the Padang City Library and Archives Service. Data collected using descriptive research methods with research objects of various sources of information in the library. Data was collected through questionnaires and interviews with librarians and librarians in the Padang City Library and Archives Office library through literature studies in accordance with the problem under study. Based on the discussion of the data it can be concluded that the utilization of information sources by the library users in the Padan City Library and Archives Service is as follows: (1) Information sources that can be used by visitors in the Library of the Padang City Library and Archives Service, such as public collections numbered from 000 public works to 900 history and geography. Then there is also a source of information that is a collection of references consisting of dictionaries, encyclopedias, laws, altas, handbooks. And there is also a collection of reservoirs which are numbered from a collection of 000 public works to a collection of 900 history and geography. (2) the utilization of information resources in the library can be seen from the user's needs, user motives, user interests. (3) the opinion of the user towards the information sources in the library can be seen from the completeness of information sources in the library such as: information sources as opportunities for career achievement and achievement, updating information sources, completeness of information sources, as a means of decision making, information sources as entertainment. The information retrieval facility can be seen from the use of collections, the condition of book fiqs, the arrangement of books in the library, the search tools facility, the enhanced facilities.Keywords: utilization, information, users

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.804
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.006
Open science0.0040.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.001

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 head0.268
Teacher spread0.251 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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