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Record W2001971801 · doi:10.2495/sdp-v1-n2-203-213

Integration of urban growth management and strategic environmental assessment to ensure sustainable urban development

2006· article· en· W2001971801 on OpenAlexvenueno aff
Habib M. Alshuwaikhat, Yusuf A. Aina, Syed Masiur Rahman

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsnot available
FundersKing Fahd University of Petroleum and Minerals
KeywordsGrowth managementEnvironmental planningStrategic environmental assessmentUrban planningSustainable developmentEnvironmental resource managementBusinessUrban managementEnvironmental impact assessmentGeographyEnvironmental sciencePolitical scienceEngineeringLand useCivil engineering

Abstract

fetched live from OpenAlex

The spate of rapid urban growth and its attendant environmental impacts have been the focus of urban planners and researchers in recent times.The key challenge is to reach a proper balance between urban development and environmental protection.Urban growth management has gained importance as a means of ensuring desirable urban development.Along the same line, strategic environmental assessment (SEA) has been adapted to ensure that plans, programs and policies are environmentally sustainable.This paper explores the link between urban growth management and SEA and proposes a framework for integrating them.In the light of the framework, the paper reviews some growth management strategies in countries in the Arabian Gulf region and elaborates on ways of fostering sustainable urban development in the region.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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

Citations11
Published2006
Admission routes1
Has abstractyes

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