MétaCan
Menu
Back to cohort
Record W4283023335 · doi:10.14236/ewic/eva2022.29

Digital Relationality: Relational aesthetics in contemporary interactive art

2022· article· en· W4283023335 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueElectronic workshops in computing · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt, Technology, and Culture
Canadian institutionsSimon Fraser UniversityUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsAestheticsCommoditizationSociologyEveryday lifeComputer scienceArtEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

<p class="first" id="d1718121e76">In 1998, Bourriaud proposed relational aesthetics as an art form that took interhuman relations as its content to confront the progressive commoditization of those relations and propose alternative ways of living. Twenty years later, relational aesthetics has become even more relevant as a tool to reveal the relationality between technology and each other, as our everyday social relations have been commoditized in ways previously unimaginable. Given the enormous shifts that have occurred since its inception, relational aesthetics needs revitalization. In this paper, we aim to renew relational aesthetics as ‘digital relationality,’ recognizing important critiques about a lack of antagonism from Claire Bishop and identifying ways in which incorporating relational aesthetics with interactive art may resolve many of these criticisms. We analyse four of our own artworks as examples of how merging relational aesthetics with interactive digital art can benefit both realms. We propose that applying relational aesthetics to digital media reveals the antagonism within the structures imposed by technology ordinarily taken for granted. Drawing attention to these structures, and subverting the typical uses of these platforms, allows for reflection and discourse. This can lead both artist and viewer to imagine alternative ways of living beyond the constraints we ordinarily operate within, becoming active participants in constructing a digitally relational future.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.873
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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