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Record W3098452026 · doi:10.30822/arteks.v5i3.487

The hedonistic sustainability concept in the works of Bjarke Ingels

2020· article· en· W3098452026 on OpenAlexaff
Nita Dwi Estika, Yudhistira Kusuma, Dewi Retno Prameswari, Iwan Sudradjat

Bibliographic record

VenueARTEKS Jurnal Teknik Arsitektur · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsSustainabilityArchitectureArchitectural engineeringSustainable designProcess (computing)Representation (politics)Computer scienceArchitectural designInterior architectureSociologyAestheticsManagement scienceEngineeringInterior designPolitical scienceArtVisual artsEcology

Abstract

fetched live from OpenAlex

Contemporary architects highlight past ideas and present new manifestos often perceived as utopian. Bjarke Ingels introduced hedonistic sustainability in response to the demand for environmentally friendly and sustainable living through different perspectives. This paper comprehensively explains the concept of hedonistic sustainability through the designs of Bjarke Ingels, a contemporary architect. Literature from various sources is examined to describe Bjarke Ingels' idea. Hedonistic sustainability combines sustainable ideas, fun, and community. Bjarke Ingels's architectural design is applied through simulation and an ironic approach. Its representation facilitates the exploration of the design objects planned concretely. The idea of playful and communality was raised through the design that accommodates various user activities. Bjarke Ingels's idea is expected to contribute to the knowledge and contemporary architecture design process in Indonesia. © 2020 Nita Dwi Estika, Yudhistira Kusuma, Dewi Retno Prameswari, Iwan Sudradjat

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.018
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.243
Teacher spread0.217 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations4
Published2020
Admission routes1
Has abstractyes

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