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Record W2612654639

Paradox in sculpture: Hypermodernity, nature, and digital medium

2013· other· en· W2612654639 on OpenAlexaffabout
Claire Brunet

Bibliographic record

VenueOCAD University Open Research Repository (OCAD University) · 2013
Typeother
Languageen
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsSculptureArtVisual artsAestheticsComputer graphics (images)Computer science
DOInot available

Abstract

fetched live from OpenAlex

Artistic creation has mutated from its introverted nature to become a collaborative act merging the scientific and artistic domains into an extroverted process of creation.Referencing research creation, we explore sensory knowledge inspired by environmental concerns ranging from ecological to technological perspectives.The artwork "Vulnerable: The Salmon Project" addresses the condition of our natural environment and aims to create an awareness in the viewer of questions of sustainability.The sculpture installation project proposes opposing temporal forces-a 3D digital and technological approach as a mode of production, in opposition to an ecological statement on the vulnerability of the living environment-which stresses the values of an hypermodern society, evoking a culture of paradox.Hypermodernity also reflects an economic context which emphasizes the value we bring to tradition, as a need to safeguard our heritage.The sculpture discourse focuses on the vulnerability of the salmon species, a Canadian icon, perceived as a metaphor for the human condition.This paper explores the ways in which artists adapt to new ways of experiencing 3D in an hypermodern epoch where space-time and materiality are greatly affected by the growth of digital mediums.

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)0.003
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.046
Scholarly communication0.0140.010
Open science0.0010.008
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.047
GPT teacher head0.266
Teacher spread0.219 · 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
GenreOther

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
Published2013
Admission routes2
Has abstractyes

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