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Record W3201414690 · doi:10.3167/cja.2021.390203

Vandalism as Symbolic Reparation

2021· article· en· W3201414690 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.

fundA Canadian funder is recorded on the work.
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

VenueThe Cambridge Journal of Anthropology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
FundersUniversity College LondonUniversity of the Arts LondonYork UniversityWellesley College
KeywordsGestureMateriality (auditing)PoliticsTRACE (psycholinguistics)DocumentationAestheticsEveryday lifeMedia studiesSociologyVisual artsHistoryArtPolitical scienceLawComputer scienceLinguistics

Abstract

fetched live from OpenAlex

The 2018 anti-government protests in Nicaragua generated a vast amount of photographic imagery, video documentation, and visual graphics. On the street and via social media, everyday citizens engaged with this material, activating a multisensory environment. The production of visual content was nonetheless accompanied by iconoclastic gestures; vandalism became a means of reclaiming Nicaragua’s revolutionary past and its symbols, while deploying them towards the making of a yet to be imagined political future. Drawing on examples from Chile and Mexico, the article argues that acts of vandalism may be understood as symbolically reparative. The materiality of the protests, manifested through image, trace, gesture, and sound (slogans, chants, noise) becomes a means towards analysing, ethnographically, revolutionary imaginaries caught within the flux of an unsettled present.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.372
Teacher spread0.352 · 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