The competence of theatre audiences in fifth- and fourth-century Athens
Bibliographic record
Abstract
Abstract After dismissing various possible approaches to the question of audience competence in fifth- and fourth-century Athens, this article proposes to tackle this important and notorious problem with a novel strategy that is not ‘top-down’ but ‘bottom-up’, starting with spectators rather than plays and focusing on the bottom-line of expertise which can be taken to be shared by the majority of audience members. An umbrella-notion of ‘theatrical competence’ is established before two central characteristics of drama performed in Athens are exploited: the participation of spectators in the citizen-chorus at the Great Dionysia, and the implications for the competence issue of frequent exposure to an art form which is as formally conservative as preserved Attic drama. What emerges is a model of stratified decoding by spectators (élite and non-élite) who share a considerable level of theatrical competence. In a final step, this model is applied to a number of case studies taken from fifth-century comedy.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.005 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".