Bibliographic record
Abstract
This work is one of the first full studies of the dissemination of Greek tragedy in the archaic and classical periods. Drawing on recent research in network theory, it seeks to reinterpret classical tragedy as a Panhellenic art form. It thereby offers a radically new perspective on the interpretation of the extant tragic texts, which have often been seen as the product of the fifth-century Athenian democracy. Tragedy grew out of, and became part of, a common Greek (or Panhellenic) culture, which was itself sustained by frequent travel and exchange. This book shows how Athens was a major Panhellenic centre within a wider and, by the fifth century, well-established network of festivals and patrons. The part played by non-Athenians in the festival culture of Attica is fully reassessed and it is estimated that as much as a quarter of all tragic poets who produced plays in Athens during the classical period were non-citizens. In addition, the book re-examines the evidence for tragedies that were probably or certainly performed outside Athens and shows how and why they were calculated to appeal to a broad Panhellenic audience. The stories they contained were themselves tales of travel. Together the works of the tragedians told and reworked the history of the Greek peoples and showed how they were connected through the wanderings of their ancestors. Tragedy, like the poets and their creations, was meant to travel and this is the first full study of tragedy on the move in the archaic and classical periods.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".