The Role of the Ekphrasis in Plot Development: The Painting of Europa and the Bull in Achilles Tatius' Leucippe and Clitophon
Bibliographic record
Abstract
Abstract This article examines the effectiveness of the ekphrasis of Europa and the bull which is placed at the beginning of Achilles Tatius' Leucippe and Clitophon, in order to shed light on its role in the development and progression of the plot in the novel. Although some critics have discussed the ekphrasis' anticipatory effectiveness with regard to the main characters, Leucippe and Clitophon, nevertheless much more can be said about the function of the set-piece description as a tool for foreshadowing events which transpire for the hero and heroine. In addition, this article demonstrates that the ekphrasis depicting Europa and the bull is not limited to prefiguring the actions of the main narrative as previously believed, but seems to act as a template for the plots of all of the mini-episodes that occur in the novel. By way of a table at the end of this article I present the template and the features common to the Europa-ekphrasis and to each of the mini-episodes in order to illuminate further the set-piece description's anticipatory effectiveness.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".