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Record W7097785118

Forging glocal governance? Urban infrastructure as networked financial products

2008· article· en· W7097785118 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsGlocalizationCorporate governanceUrban infrastructureTransportation infrastructureInvestment (military)Argument (complex analysis)Critical infrastructureUrban planning
DOInot available

Abstract

fetched live from OpenAlex

2 Forging glocal governance? Urban infrastructures as networked financial products Abstract. Urban infrastructure provisions are increasingly shifting from public good to private property, becoming financial products, with cities and regions valued merely on a quarter-to-quarter basis. My argument in this paper is threefold. I argue that the urban infrastructure landscape is undergoing financialization. Additionally, building on Graham and Marvin (2001) who describe how infrastructure networks are being unbundled locally, I argue that these unbundled infrastructures are simultaneously being interlinked internationally via specialist global infrastructure funds. Third, with the opening up to international infrastructure capital, non-local owners, through abiding to contractual obligations, play an increasing role in the governance of infrastructure projects at the urban scale: a ‘glocal ’ form of governance is developing. I illustrate these arguments by investigating the case of the privatised toll-road 407 in the Greater Toronto Area, where the leading investment bank in the field of ‘infrastructure ’ is one of the global owners. With increased used of the international norms of commercial law and the fluctuating cycle of local, national and supranational politics, a toll-pricing controversy has

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.169
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.231
Teacher spread0.222 · 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.

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

Citations0
Published2008
Admission routes1
Has abstractyes

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