Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This paper presents a new model for how the voting worked at the Athenian dramatic competitions, and demonstrates its viability mathematically. Previous proposals have either failed to take full account of the ancient sources or have not considered all the possible permutations of judging results. As is generally recognized, ten votes were cast, but in most circumstances not all were counted. Sections I–IV consider the tragic competition at the Dionysia, in which three competitors vied for the prize. For the questions we consider, two likely cases are examined (when the votes are divided 4–3–3 and 5–3–2), then a random distribution covering all possible cases, and finally the situation when two competitors are favoured against a third (when the votes are divided 5–5–0, 5–4–1 and 4–4–2). Section I presents the proposal and situates it within the Athenian cultural context. Section II asks how many lots are typically drawn before a victory is obtained. Section III considers how other places are determined. Section IV introduces the question of ‘fairness’: does the person who receives the most votes actually win? Section V considers adjudication for comedies and at the Lenaia. Section VI considers dithyrambic competitions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it