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Record W3090894632 · doi:10.24036/107340-0934

Pembuatan Video Promosi Perpustakaan di Perpustakaan Universitas Islam Negeri Imam Bonjol Padang

2019· article· en· W3090894632 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

VenueIlmu Informasi Perpustakaan dan Kearsipan · 2019
Typearticle
Languageen
FieldComputer Science
TopicBlockchain Technology in Education and Learning
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsIslamPromotion (chess)Theme (computing)Scripting languageLibrary scienceComputer scienceWorld Wide WebPolitical scienceHistory

Abstract

fetched live from OpenAlex

AbstractIn this paper, it is discussed about Making Library Promotion Videos in Imam Bonjol State Islamic University Library Padang. The purpose of this paper is to describe the stages of making library promotional videos at the Imam Bonjol State Islamic University Library in Padang. This type of research is qualitative with descriptive method. Data collected through observation and interviews with the Head of Imam Bonjol State Islamic University Library Padang. Based on analyzing the data it can be concluded that the steps in making a library promotion video are follows: First, preproduction is the initial stage before the video production process consists of the discovery of ideas which are the theme of production, synopsis, treatment which gives an overview of the production theme, storyboards that describe a series of events, shooting scripts as a guide in the field, production planning, and production preparation. Second, production to realize all the steps in the preproduction stage. Third, post-production is the final stage in video production before it’s ready to be presented.Keywords: videos, promotions, libraries

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.005
GPT teacher head0.207
Teacher spread0.201 · 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