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Record W4388907483 · doi:10.36040/pawon.v7i2.5294

KAJIAN METODE ARSITEKTUR BIOKLIMATIK PADA RUMAH ADAT BANJAR GAJAH BALIKU

2023· article· en· W4388907483 on OpenAlexaff
Farah Hafizha, Sarifah Nur Isra Jairina

Bibliographic record

VenuePawon Jurnal Arsitektur · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsArchitectureVernacular architectureVernacularDocumentationArchitectural engineeringResearch ObjectArchitectural designCivil engineeringHistoryArchaeologyGeographyComputer scienceEngineeringArtRegional science

Abstract

fetched live from OpenAlex

Bioclimatic architecture is a design approach that considers the relationship between architectural forms and the local climate. Vernacular architecture is an architectural design that adapts to the local climate, local construction materials and techniques, influenced by social, cultural and economic aspects of the local community. The ancient architecture of the Gajah Baliku traditional house in South Kalimantan has been around since the 1800s and is part of the vernacular architecture. This study discusses the bioclimatic architectural methods found in the traditional house of Banjar Gajah Baliku. The method used in this study is a qualitative descriptive method which aims to find out how the application of bioclimatic architectural methods to the traditional house of Banjar Gajah Baliku. The data collection method was obtained from primary sources, namely literature which was carried out to find the theoretical basis and become a reference in reviewing empirical data, as well as field observations consisting of measurements, sketches, documentation and redrawing the research object. From this study, it is concluded that the traditional house of Banjar Gajah Baliku in South Kalimantan has met the nine criteria of the bioclimatic architectural method.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.279
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.003

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 head0.044
GPT teacher head0.227
Teacher spread0.183 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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