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Record W1547215680 · doi:10.25071/1718-4657.36736

A NECESSARY VIOLENCE: DECONSTRUCTING ANN HAMILTON’S TROPOS

2008· article· en· W1547215680 on OpenAlexaffvenue
Susan Brandoli

Bibliographic record

VenueIntersections conference journal · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Politics, and Modernism
Canadian institutionsUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsRelation (database)Event (particle physics)Repetition (rhetorical device)HickeyDeconstruction (building)GesturePoint (geometry)ArtEpistemologySociologyComputer scienceArt historyPhilosophyArtificial intelligenceLinguisticsEngineeringMathematics

Abstract

fetched live from OpenAlex

Installation art is not permanent; it is an act of art - an event that takes place over a certain amount of time and is conceived of only for a specific location. Of an installation, of the event itself, one can say that it consists of a series of signs, endlessly shifting in relation to each other, to themselves and to the viewer. The work tropos by installation artist Ann Hamilton focuses most notably on instances of repetition, what the artist sometimes calls the "accretion of small gestures" (qtd. in Hickey 129), and from this we can discern ideas that constitute notions of presence and absence. In order to investigate these ideas within Hamilton’s work, we can use as a starting point the strategies of deconstruction, drawn from the writings of Marx, Freud and Derrida, to begin to unravel the many varied parts of the whole.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.048
Scholarly communication0.0060.007
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.077
GPT teacher head0.270
Teacher spread0.193 · 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 designNot applicable
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
Published2008
Admission routes2
Has abstractyes

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