Bibliographic record
Abstract
Abstract The primary purpose of the performing arts is to prepare and present ‘artistic performances’, performances that either are themselves the appreciative focuses of works of art or are instances of other things that are works of art. In the latter case, we have performances of what may be termed ‘performed works’, as is generally taken to be so with performances of classical music and traditional theatrical performances. In the former case, we have what may be termed ‘performance‐works’, as, for example, in free improvisations. Where we have performances of performed works, a number of distinctive philosophical questions arise: What kind of thing is a performed work? How is it appreciated through its performances? Is ‘authenticity’ an artistically relevant quality of performances of performed works, and, if so, why? How much of what goes on in the performing arts is rightly viewed as the performance of performed works? Artistic performances, whether or not they are of performed works, raise philosophical questions of their own. Can a performance itself be rightly viewed as a work of art? How do improvisation and rehearsal enter into the performing arts, and how do they bear on the appreciation of artistic performances? What role does the audience play in such performances? Does the performer’s use of her own body as an artistic medium, as for example in dance performance, generate special constraints on appreciation? How, finally, does what is usually classified as ‘performance art’ relate to activities in the performing arts more generally construed? I critically survey the ways in which these questions have been addressed by principal theorists in the field.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".