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Record W2921436957 · doi:10.1177/0011392118823830

‘Stop calling it graffiti’: The visual rhetoric of contamination, consumption and colonization

2019· article· en· W2921436957 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Sociology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsGraffitiCriminalizationRhetoricEthnographySociologyConsumption (sociology)State (computer science)Style (visual arts)CriminologyMedia studiesAestheticsVisual artsSocial scienceAnthropologyArt

Abstract

fetched live from OpenAlex

Municipal graffiti abatement approaches in North America have shaped the stories we tell ourselves about ourselves upon these city walls. This article examines how the City of Ottawa (Canada) manages graffiti and murals. In doing so, I demonstrate how those management practices connect to longstanding tensions about unauthorized markings in public places and the criminalization of style. Drawing from extensive ongoing ethnographic research on graffiti and the moral and legal regulation of urban performances, I reveal the aesthetics of security which fosters a visual logic of so-called ‘crime prevention,’ state-sanctioned redactions and racialized dispossession of phrasing and text. To close, I consider how urban art regimes are implicated in the colonizing of public spaces, while also considering the liberating possibilities of graffiti.

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)0.001
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 score0.508
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.041
GPT teacher head0.383
Teacher spread0.342 · 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