Exploring empathy performativity in students’ video artworks
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".