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Record W2905509140 · doi:10.5555/1480-6800-21.2.193

Urban Design Study on Kota Bharu City Centre, Kelantan, Malaysia

2018· article· en· W2905509140 on OpenAlexvenueno aff
Muhammad Hishamuddin Zakaria, Mazran Ismail, Ahmad Sanusi Hassan, Najib Taher Al-Ashwal

Bibliographic record

VenueArab world geographer · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsZoningUrban designIslamUrban planningGovernment (linguistics)UrbanismPerceptionEnvironmental planningPlace identityGeographyBusinessSociologyCivil engineeringPsychologyEngineeringArchitectureArchaeology

Abstract

fetched live from OpenAlex

Urban design elements within a city play a vital role in stimulating mental mapping in personal perception of the city. A comprehensive urban trail has been conducted focusing on a city centre to study the elements of urbanism and planning strategies by the government of Kelantan to make sure the functionality and its character representation of Kota Bharu, Kelanta, recently rebranded as an Islamic City. The incorporation of the Islamic city design approach, urban planning and community building ideas towards a better city have been taken into considerations by the authoriies in Kelantan in developing and presenting the ideas of the Islamic City. The strategic and pragmatic urban design approaches adopted by the government of Kelantan, by indicating the specific zoning within the city centre itself, have indirectly strengthened the city developmental identity. Hence, this study shows that urban design elements play an essential role in creating a specific mental mapping in personal perception regarding Ko...

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 categoriesInsufficient 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 score0.345
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0100.001

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 head0.039
GPT teacher head0.247
Teacher spread0.208 · 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

Citations1
Published2018
Admission routes1
Has abstractyes

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