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Record W4364357730 · doi:10.18280/ijsdp.180308

Investigation of the Sustainability Potentials in the Ten House Project Bangkok-Thailand

2023· article· en· W4364357730 on OpenAlexvenueno aff
Raghad Mourad, Julaihi Wahid, Othman Abdul Aziz Alkubise, Imtiyaz Akbar Najar

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2023
Typearticle
Languageen
FieldEngineering
TopicSustainable Building Design and Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityEnvironmental planningArchitectural engineeringGeographyEngineering

Abstract

fetched live from OpenAlex

The sustainability of projects has become a significant concern for temporary architecture, which refers to structures that are built for a limited period of time.This is because these structures can have negative impacts on the environment and society if not constructed and operated in a sustainable manner.However, there is a growing demand for modern techniques that can help achieve sustainability in temporary architecture.This research investigates about the sustainability of Ten House Project (THP) in Bangkok-Thailand.The research argues that sustainability can actually be achieved by applying traditional construction techniques that have been proven effective in promoting economic efficiency, as well as addressing social and environmental issues -the three pillars of sustainability.This research simulated the results using the ENVI-met application that models the environmental conditions of urban areas.In summary, the research seeks to explore how traditional construction techniques can be applied to temporary architecture to achieve sustainability.The research has proved that many of the regional architecture elements have contributed to achieving sustainability in the project; terraces, courtyards, breathable walls and many other architectural features were essential in terms of achieving sustainability from an environmental point of view, in addition to involving people in the schematic design phase, which was the social factor that contributed effectively to adding sustainability value to the project.The research aims to demonstrate that sustainability can be achieved by leveraging traditional methods, which can provide economic, social, and environmental benefits.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.133
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations5
Published2023
Admission routes1
Has abstractyes

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