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Transport Systems and U.A.E. Urban Development: Multimodal Transport Facilities in a Polycentric Urban Region

2014· article· W7128488257 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueArab world geographer · 2014
Typearticle
Language
FieldSocial Sciences
TopicGlobal Urban Networks and Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsConurbationUrban agglomerationMultimodal transportVariety (cybernetics)TourismRelation (database)Focus (optics)Transport networkPolitics

Abstract

fetched live from OpenAlex

Current literature on urban agglomerations in relation to global trade and transport generally tends to focus on the post-industrialized West and East and so underplays the role of other parts of the world system, including the MENASA (Middle East–North Africa–South Asia) region. In doing so, scholars discount a variety of spatial, morphological, environmental, historical, and socio-political urban patterns particular to these other regions and cities. This article addresses this oversight by examining the United Arab Emirates coastal conurbation (U.A.E.–CC, including Dubai–Abu Dhabi–Sharjah–Ajman), with its unique global positioning and political and economic conditions. The U.A.E.–CC is explored in relation to theories of the world/global city, the airport city or aerotropolis, and the polycentric urban region (PUR). The article demonstrates the emerging formation and potential of the U.A.E.–CC PUR, a member of a world-city network specializing as a transport hub and tourist destination and a global logistics centre.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.210
Teacher spread0.201 · 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