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Record W2072711907 · doi:10.2747/0272-3638.27.3.271

Rights to Public Space: Regulatory Reconfigurations of Liberty

2006· article· en· W2072711907 on OpenAlexaffabout
Evelyn Ruppert

Bibliographic record

VenueUrban Geography · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsTrent University
Fundersnot available
KeywordsPublic spacePoliticsSpace (punctuation)RedevelopmentProperty (philosophy)Law and economicsPolitical scienceLawPublic administrationSociology

Abstract

fetched live from OpenAlex

I define how public space is constituted not by real property but by a regime made up of regulatory practices. What is at issue in assertions about the decline of public space is that this regulatory regime is reconfiguring liberty—that is, rights to public space—through a change in the conception of the public, of who and what belong as part of the public. By way of a case study (the redevelopment of the corner of Yonge and Dundas Streets in Toronto), I argue that liberty is defined by a multiplicity of practices (e.g., laws, regulations, urban design, surveillance, policing) that are oriented to a particular conception of the public, and which seek to guide the conduct of agents. This suggests that if our concern is to expand the political and social uses of public space then we need to turn our attention away from resources, spaces, and goods and toward how the regulatory regime configures liberty and in turn the possibilities that public space can be taken and made.

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)0.007
metaresearch head score (Gemma)0.009
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.084
Scholarly communication0.0140.013
Open science0.0020.009
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.229
Teacher spread0.219 · 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

Citations51
Published2006
Admission routes2
Has abstractyes

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