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Record W4280598590 · doi:10.1386/eta_00091_1

Exploring empathy performativity in students’ video artworks

2022· article· en· W4280598590 on OpenAlexaff
Rachel Sinquefield-Kangas, Antti Rajala, Kristiina Kumpulainen

Bibliographic record

VenueInternational Journal of Education through Art · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicArt Education and Development
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsEmpathyPerformativityRealismPerformative utteranceAestheticsPsychologyArtSociologyEpistemologyVisual artsSocial psychologyPhilosophy

Abstract

fetched live from OpenAlex

This article examines events of empathy as they occur during artmaking using the lens of agential realism. We do this to trouble more traditional psychological constructs of empathy and, instead, rethink it as performative and relational. Drawing on new materialisms and Karen Barad’s ‘agential realism’, we do not treat artmaking, young people and empathy in any hierarchy but want to understand how these come together as ‘things-in-phenomena’. Written recountings of a video artwork are used in mapping the entanglements of cats and dogs with three Finnish high-school girls as they answer the question ‘what is empathy?’. The study shows how objects/materials/matter(s) are agentic in co-constituting conditions invocative of empathy phenomena during artmaking. We conclude by suggesting that an agential realist account of art and empathy calls for art educators to pay close attention to objects/materials/matter(s) in their heterogenous connections.

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 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 score0.754
Threshold uncertainty score0.994

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.115
GPT teacher head0.334
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 teacher head, not a consensus.

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

Citations4
Published2022
Admission routes1
Has abstractyes

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