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Record W3090765962 · doi:10.24036/107487-0934

Paket Informasi Arsitektur Rumah Gadang Khas Minangkabau

2019· article· en· W3090765962 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
TopicEnvironmental Engineering and Cultural Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCarry (investment)Computer scienceProcess (computing)ArchitectureTable (database)Identification (biology)Information needsData collectionWorld Wide WebSociologyData miningArtVisual artsBusiness

Abstract

fetched live from OpenAlex

Abstract The writing of this paper aims to describe and provide knowledge about the architecture of the typical rumah gadang minangkabau house to the community, especially the current millennial generation. The method used in this paper is a descriptive method with a qualitative approach. A qualitative approach is to collect data directly by conducting observations, interviews and literature. Based on the discussion, it can be concluded that there are 5 stages in the process of packaging information packages for the Minangkabau Typical Rumah Gadang Architecture. The stages are, (1) identifying user needs. Identification is done to find out how much information needs are needed by users; (2) carry out the process of determining the topic of information to be discussed; (3) carry out information gathering conducted by observation, interviews and literature searches; (4) conduct data analysis and selection of information that has been obtained in accordance with the topic; (5) carry out the process of packaging information that presents covers, introductory words, table of contents, chapter sections and conclusions.Keywords: information packaging, rumah gadang architecture.

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)0.000
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 score0.886
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
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 head0.004
GPT teacher head0.167
Teacher spread0.163 · 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