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Record W4414905121 · doi:10.22487/ruang.v19i2.174

Kajian Penerapan Prinsip-Prinsip Arsitektur Hijau Pada Bangunan Perkantoran (Studi Kasus Gedung Green Office Park 1, Bsd)

2025· article· en· W4414905121 on OpenAlex
Dziky Haidar, Ade Syoufa

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

VenueRUANG JURNAL ARSITEKTUR · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGreenhouseArchitectureLandscapingIndustrial parkGreen buildingGreenhouse effect

Abstract

fetched live from OpenAlex

The increase in the greenhouse effect is one of the most critical issues in the climate field, triggered by the construction of high-rise buildings and the widespread use of glass materials. The serious consequences of this phenomenon involve rising sea levels, melting polar ice caps, damage to ecosystems, and increased risk of infectious diseases. Therefore, research on the application of green architecture principles in offices is of great importance, especially through a case study on the Green Office Park 1 Building in BSD. The basis of this research involves understanding the adverse impacts of high-rise buildings and the use of glass materials on the environment and the greenhouse effect. The main objective of this research is to analyze how the Green Office Park 1 Building integrates the concept of green architecture, using a qualitative descriptive method. The results concluded that the building has not fully implemented the principles of green architecture, especially in paying attention to the condition of the building site.

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), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.520
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.222
Teacher spread0.202 · 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