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Record W2046024973 · doi:10.1080/02723638.2013.778651

Metropolitics in Motion: The Dynamics of Transportation and State Reterritorialization in the Chicago and Toronto City-Regions

2013· article· en· W2046024973 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueUrban Geography · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsYork University
Fundersnot available
KeywordsEconomic geographyDynamics (music)State (computer science)Motion (physics)GeographyRegional scienceSociologyEconomic growthEconomicsComputer scienceClassical mechanicsPhysics

Abstract

fetched live from OpenAlex

The global economic crisis exposed the instability of financialized urban governance at precisely the moment when governing coalitions have launched ambitious, expensive plans to reimagine urban transportation infrastructure, driven by the imperatives of restoring accumulation amid intensifying economic and regional competition. In Chicago and Toronto, processes of urban restructuring and state reterritorialization disclose contradictory tendencies in the city-regions’ modes of urbanization. Tracing the contingent path-dependencies of transportation crises highlights tensions between, and within, preexisting metropolitan dynamics and an ascendant neoliberal city-regionalism. The mobilization of collective regional agency appears necessary to overcome the inertia of divisive metropolitan politics, yet the specific political–economic contexts of the case city-regions significantly condition the structural capacity of actors producing, and the potential articulation of, emergent city-regional governance.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.081
Threshold uncertainty score0.873

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 studies0.0000.000
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 head0.009
GPT teacher head0.236
Teacher spread0.228 · 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