Rethinking Veridicality: Motor Response, Empirical Evidence, and Dance Appreciation
Bibliographic record
Abstract
Abstract Recent debates in the philosophy of dance have focused on the relationship between motor response and dance appreciation. Some philosophers argue that motor responses to dances are an important part of dance appreciation. Proponents of such a claim are often backed with support from cognitive science. But it has not remained uncontroversial. Despite its controversy, the concept of motor response remains under-analyzed. As a result, assumptions about the idea and purpose of motor response get borrowed from cognitive science. I argue that one such assumption, that motor response is supposed to be veridical, runs us into several problems. It runs us into something of a paradox, where it is claimed that motor responses happen as part of our general perception of movement. However, few people experience such responses. Furthermore, it seems that the motor responses that are appropriate for a dance might not be the ones the dancer is feeling. As a result, we should prefer an account of motor response that emphasizes its flexibility and its ability to change and adapt to the movement we see.
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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 | 0.022 | 0.154 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.013 |
| Scholarly communication | 0.004 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.022 | 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".