EMPATHY AND THE EMOTIONAL COEXPERIENCING IN THE AESTHETIC EXPERIENCE
Bibliographic record
Abstract
After briefly remarking on previous treatments of empathy in the philosophical and psychological literature, I outline Stein’s treatment of this concept in On the Problem of Empathy and Philosophy of Psychology and the Humanities, illustrating the problematic breadth of her application of the term ‘empathy,’ a breadth that Stein herself calls to our attention. After a brief discussion of Stein’s treatment of empathy and the experience of value, I turn to certain features of Roman Ingarden’s analyses of aesthetic experience found in The Literary Work of Art and The Cognition of the Work of Art that deal with what he refers to as the reader’s ‘emotional coexperience’ of situations and events represented in the work of art. I conclude by comparing Stein’s account of empathy with Ingarden’s account of aesthetic experience, both of which deal at length with the subjective activities of “feeling with” and emotional coexperience.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.017 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".