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Spatial Regulation, Dispersal, and the Aesthetics of the City: Conservation Officer Policing of Homeless People in Ottawa, Canada<sup>1</sup>

2011· article· en· W2115398507 on OpenAlex
Kevin Walby, Randy K. Lippert

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

VenueAntipode · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of WindsorUniversity of Victoria
Fundersnot available
KeywordsTemporalitiesCommissionBiological dispersalOfficerSociologyCapital (architecture)CriminologyPolitical scienceGeographyLawArchaeology

Abstract

fetched live from OpenAlex

Abstract: In this article, we examine the spatial regulation of homeless people by National Capital Commission (NCC) conservation officers in Canada's capital city, Ottawa. We explore NCC officer practices by analyzing occurrence reports obtained through access to information (ATI) requests and interview transcripts. We contend that policing of NCC parks is organized according to a logic of dispersal. Dispersal policing aims to preserve an aesthetic for public consumption and ceremonial nationalism, entails specific temporalities, and is actuated through a public/private policing network. We argue that “dispersal” more accurately conceptualizes the spatial regulation in this case compared with alternative concepts (ie banishment) and thus supplements existing typologies of spatial regulation. We conclude with a discussion of these typologies and of the worth of ATI for future research on urban policing and regulation.

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 score0.106
Threshold uncertainty score0.156

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 head0.016
GPT teacher head0.241
Teacher spread0.225 · 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