MétaCan
Menu
Back to cohort
Record W2317510907 · doi:10.1080/02723638.2016.1168568

The political topology of urban uprisings

2016· article· en· W2317510907 on OpenAlexaff
Theresa Enright

Bibliographic record

VenueUrban Geography · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsUniversity of Toronto
FundersWisconsin Alumni Research Foundation
KeywordsMegaprojectMarxist philosophyPoliticsGlobal citySociologySpace (punctuation)Political geographyUrban planningPolitical economyPolitical scienceLawCivil engineeringManagementEconomicsEngineering

Abstract

fetched live from OpenAlex

This article examines the relationship between political uprising and megaproject-based global city reform in Paris and London. On the one hand, it considers the banlieue uprisings in Paris in November 2005 as an impetus for the Grand Paris renewal initiative launched in April 2007. This is compared with the large-scale reformations of space across London in advance of the 2012 Olympics as a contributing factor in the riots of August 2011. In both of these cases there is an integral though indirect link between urban planning and resistance. Engaging with Marxist political theory and critical urban geography, I argue that uprisings and global city developments relate in a mutually constitutive fashion. I also locate the suburbs, broadly defined, as an important site of contemporary political antagonism. I use the concept of “political topology” to suggest that global city pursuits present a new mode of uneven development that has not yet been adequately met in thought or practice. The two cases are thus used to open up to a more general analysis of twenty-first-century urban politics.

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 score0.820
Threshold uncertainty score0.555

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 studies0.0000.002
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 head0.009
GPT teacher head0.257
Teacher spread0.248 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueUrban GeographySame topicUrban Planning and GovernanceFrench-language works237,207