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Record W2147952766 · doi:10.1177/1087724x09350629

Investigating Degenerated Peripheralization in Urban India: The Case of Water Supply Infrastructure and Urban Governance in Chennai

2009· article· en· W2147952766 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.

Bibliographic record

VenuePublic Works Management & Policy · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsConcordia University
Fundersnot available
KeywordsAppropriationMetropolitan areaContext (archaeology)PolycentricityCorporate governanceInstitutionalisationGeographyPolitical scienceEconomic geographyBusiness

Abstract

fetched live from OpenAlex

Globalization is compressing the sequential spatial experience of environmental burdens in developing country cities through a process of space—time telescoping. With the introduction of neoliberal reform policies, Indian cities have also begun experiencing the effects of telescoped environmental burdens. A compelling theoretical perspective in this tradition suggests that large Indian cities now display a “degenerated peripheralization” whereby the experience of environmental burdens is becoming increasingly uneven between the urban core and its peripheries as a result of policy neglect. However, reliance on this theory overlooks how place-specific historical, social, and technical processes in the urban context often support a dynamic of active appropriation of resources from the periphery and core. Drawing on the histories of urban politicalization and the institutionalization of water supply infrastructure, this article will contextualize the process of peripheralization in the Indian metropolitan city of Chennai as an appropriative and exploitative one rather than a degenerated one.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.737

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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