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Record W2789976291 · doi:10.1177/0263775818759334

Interrupting planetary urbanization: A view from Middle Eastern cities

2018· article· en· W2789976291 on OpenAlexafffund
Azam Khatam, Oded Haas

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsYork University
FundersYork University
KeywordsUrbanizationPoliticsContext (archaeology)ColonialismPolitical economyCitizenshipGeographyPolitical scienceIndependence (probability theory)Economic geographyEconomyDevelopment economicsSociologyEconomic growthLawEconomicsArchaeology

Abstract

fetched live from OpenAlex

This paper argues that the ‘city’ as a political entity is significant in struggles over the ‘urban’, by identifying two moments of ‘differential urbanization’ in the Middle East. Our study in Iran and Palestine/Israel shows that the vision of the ‘city’ as a legitimizing space for political citizenship is at the heart of conflicting imaginaries: in Iran, ‘cities of revolution’ built through housing the poor around Tehran, and redistributive politics that stand on filling the ‘rural/urban gap’, and in Palestine, the new city of Rawabi as a city of Palestinian independence, where privatized urban development contrasts colonial spatialities with anti-colonial potentials. Thus, the right to the ‘urban’ involves claims for the ‘city’ that go beyond the capitalist logic of urbanization. This theorization points to a troubling gap in the planetary urbanization thesis, which moves from collapsing the ‘urban/non-urban’ divide into ‘concentrated’, extended’ and ‘differential’ urbanization to diminishing the role of distinct sociospatial configurations in claims over the ‘urban’. Our case studies show that examining the reconfiguration of inherited spatialities in the context of particular political regimes is imperative for epistemology of the ‘urban’ in its planetary stage. Urbanization otherwise remains an uninterrupted process towards a non-spatial ‘urban condition’.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.814
Threshold uncertainty score0.507

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)0.0000.000

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 head0.033
GPT teacher head0.236
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations36
Published2018
Admission routes2
Has abstractyes

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