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Record W2041985949 · doi:10.1080/13549839.2012.719016

Governmentality, environmental subjectivity, and urban intensification

2012· article· en· W2041985949 on OpenAlexaffabout
Donald Leffers, Patricia Ballamingie

Bibliographic record

VenueLocal Environment · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsCarleton UniversityYork University
Fundersnot available
KeywordsGovernmentalityZoningCorporate governanceSustainabilityNeighbourhood (mathematics)GentrificationPoliticsUrban planningSociologyEnvironmental governanceEnvironmental planningPolitical sciencePublic administrationGeographyEconomic growthCivil engineeringEconomicsLawManagementEngineering

Abstract

fetched live from OpenAlex

This article delineates concepts of eco-modernisation and urban sustainability (including its associated discourses), elucidating Foucault's notion of governmentality and examining select moments of contested urban governance in the neighbourhood of Old Ottawa South, in Ottawa, Ontario, Canada. It shows how intensification – a “compact city approach” to urban sustainability – as both policy and practice, serves to both discipline and regulate by “conducting the conduct” of environmental and entrepreneurial subjects. It reveals that zoning has more explicitly become a political technology (albeit a flexible one) for achieving “highest and best use” of private property, privileging intensification projects proposed by developers, through a hierarchical exercise of state power that privileges market processes, while undermining community values and priorities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.040
Scholarly communication0.0060.003
Open science0.0000.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.229
Teacher spread0.215 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations32
Published2012
Admission routes2
Has abstractyes

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