Speaking of Art as Embodied Imagination: A Multisensory Approach to Understanding Aesthetic Experience
Bibliographic record
Abstract
This article focuses on somatic experience—not just the process of thinking bodily but how the body informs the logic of thinking about art. We examine the links between embodiment, movement, and multisensory experience insofar as they help to elucidate the contours of art appreciation in a museum. We argue that embodiment can be identified at two levels: the phenomenological and the cognitive unconscious. At the first level, individuals are conscious of their feelings and actions while, at the second level, sensorimotor and other bodily oriented inference mechanisms inform their processes of abstract thought and reasoning. We analyze the consumption stories of 30 museum goers in order to understand how people move through museum spaces and feel, touch, hear, smell, and taste art. Further, through an analysis of metaphors and the use of conceptual blending, we tap into the participants' unconscious minds, gleaning important embodiment processes that shape their reasoning.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".