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Record W4400795211 · doi:10.24853/ijbesr.8.1.81-92

Understanding Changes in Architectural Form-Function-Meaning Relations: in the Case of Kampong Aquarium, Jakarta, Indonesia.

2024· article· en· W4400795211 on OpenAlexaboutno aff
Ashadi Ashadi, Ratna Dewi Nur’aini, Anisa Anisa, Finta Lissimia, Suriani Ngah Abdul Wahab

Bibliographic record

VenueInternational Journal of Built Environment and Scientific Research · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMeaning (existential)ArchitectureFunction (biology)PhenomenonRelation (database)Quarter (Canadian coin)PostmodernismSociologyEpistemologyAestheticsTheme (computing)HistoryArtPhilosophyComputer scienceArchaeology

Abstract

fetched live from OpenAlex

The history of architectural theory can be seen as a debate between those who place more emphasis on form than function. or vice versa. It is around these themes that the differences between the architects of the late 19th century and the Modernists are best understood. Then came the architects of the postmodern period, in about the last quarter of the 20th century, who added aspects of meaning and considered them important in architecture. This paper aims to understand the form-function-meaning relation in architecture in the case of Kampong Aquarium, Jakarta, Indonesia, with an architectural qualitative descriptive method. The results of the study show that there has been a significant change in the form-function-meaning of Kampong Aquarium, especially since the evictions in 2016. Because the phenomenon of Architectural Change (form-function-meaning relationship) Kampong Aquarium is relatively new, there has not been much research on it. So that this research is expected to open up opportunities for further research with the same theme.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.187
GPT teacher head0.326
Teacher spread0.139 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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