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Record W4249123883 · doi:10.21992/t91k9v

Graffiti Silence

2014· article· en· W4249123883 on OpenAlexaffvenueabout
Adriana Oniță

Bibliographic record

VenueTranscUlturAl A Journal of Translation and Cultural Studies · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGraffitiPoetryArtSilenceVisual artsStyle (visual arts)IconographyPortraitArt historyLiteratureAesthetics

Abstract

fetched live from OpenAlex

These tricontinental ekphrastic poems feature graffiti art(ists) that have caught my heart off guard. The first poem titled “Graffiti of Silence” is a response to the anonymous “listen bird”, ubiquitous in Edmonton's urban geography from 2003 to about 2008. Stenciled, spray painted or stickered, it always featured a speech bubble with one word: listen. It quickly became part of Edmonton’s local iconography, but the city’s Graffiti Management Program managed to eliminate the bird from its streets, but not from public memory. The second ekphrasis titled “The Fisherman” features the work of El niño de las pinturas (Raúl Ruiz), an internationally-renowned graffiti artist based in Granada, Spain. Known for his large-scale wall murals which are almost always accompanied by his own poetic text, he dresses the skin of this city in sienna strokes, covers its bruises with layers of light, becoming a source of symbolic pride for Granada. The third poem, “Monsters in Montevideo,” is inspired by Alfalfa (Nicolás Sánchez), an iconic street artist based in Montevideo, Uruguay. His unique style uses organic lines and bright colours to create fantastical creatures that add a sense of play and surprise to many of the city’s streets. These three ekphrastic poems are an attempt to translate the poetic experience of viewing street art. Through poetry, the impermanent art of graffiti is rendered immortal as a self-portrait of each city and each spectator.

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 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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.399

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 studies0.0010.000
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 head0.094
GPT teacher head0.371
Teacher spread0.277 · 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 teacher head, 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

Citations0
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueTranscUlturAl A Journal of Translation and Cultural StudiesSame topicPublic Spaces through ArtFrench-language works237,207