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Record W4239554318 · doi:10.5176/2251-3701_4.2.191

Phases of Development: A Cultural, Societal and Environmental Overview of Abu Dhabi’s Urban Morphology

2017· article· en· W4239554318 on OpenAlexaff
Hannah A. Allawi

Bibliographic record

VenueGSTF Journal of Engineering Technology · 2017
Typearticle
Languageen
FieldEngineering
TopicUrban Design and Spatial Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAbu dhabiUrban morphologyEnvironmental planningMorphology (biology)GeographyEnvironmental resource managementUrban planningCivil engineeringEngineeringEnvironmental scienceArchaeologyGeologyMetropolitan area

Abstract

fetched live from OpenAlex

Instant cities are on the rise. With a global trend that has stretched from the Far East to the Middle East, these emergent cities have challenged the world through their instant urban growth and their spectacular economic impact on a global scale. Cities like Shanghai and Dubai have been instrumental in the growth of other emergent cities - the craze of ‘Dubaization’ [1] or Dubai-mania has been on the rise through out the more politically stable countries of the Gulf Cooperation Council (GCC) in the Middle East. The GCC came together in 1981 uniting the countries of Qatar, the United Arab Emirates (UAE), Oman, Saudi Arabia, Bahrain and Kuwait. In recent years, cities of the GCC, primarily, Doha, Riyadh, Abu Dhabi and Manama have each adapted to the notion of instant urban growth, and much like Dubai, they have become part of the race for urban and architectural development. This paper will examine the city of Abu Dhabi as a case study considering its uniqueness and rich history, though considered short in comparison with other major cities around the world. Abu Dhabi has an opportunity to document and analyze its architectural and urban evolution in order to fully understand its past, present and potential future as a modernized metropolis. Instant cities now have the challenge to meet the needs of environmental sustainability in order to become even smarter cities and thus must face the challenge of adapting their existing urban fabric to accommodate sustainable urban and architectural development. This paper provides an overview of the urban morphology of Abu Dhabi, an influential instant Arab gulf city, and the process of their instantaneous urban growth. An overview of their urban history may call upon the question of their future adaptability and current progress for future changes to the city. The current research identifies the unique historical phases of urban development of Abu Dhabi up to present day that each correspond to and contain their distinctive cultural, societal and environmental factors that have helped shaped the city – these factors have been taken into consideration when defining the stages of urban development through the defined phases. The continuous development of the city of Abu Dhabi, to a great extent, considers its ongoing growing economy and distinctive environment contained as part of each defined period provided in the following overview.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.048
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0090.006
Scholarly communication0.0050.003
Open science0.0000.004
Research integrity0.0010.001
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 head0.017
GPT teacher head0.223
Teacher spread0.206 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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