Picturing a Truth: Beast Fable, Early <i>Iambos,</i> and Semonides on the Creation of Women
Bibliographic record
Abstract
Semonides’ poem on women (fr. 7W) is the longest surviving specimen of early ἴαµβος. Despite its length, however, the poem remains elusive, and its generic affiliations with the tradition associated with Archilochus and Hipponax are unclear. Invective has often been seen to stand near the heart of ἴαµβος, and in antiquity Semonides was regularly aligned with Archilochus and Hipponax as an ἰαµβοποιός—perhaps even as the πρῶτος εὑρετής of the genre, according to some (Suda σ 431 Adler = test. 7a Pellizer–Tedeschi)—but there is little in the surviving fragments that supports this view, and it is perhaps a telling point that the name of Semonides’ personal enemy, preserved by Lucian (Pseudol. 2 = test. 12 Pellizer–Tedeschi), cannot be made to fit an iambic line without emendation. While fr. 7 seems to lack specific personal targets, it nonetheless employs strategies of abuse and mockery familiar from ἴαµβος and comedy. Of particular interest are the poem’s affinities with beast fable, which were also prominent in the epodes of Archilochus. Semonides does not use any particular narrative, but the creation of different women from a variety of animals recalls fables such as 50 and 240 Perry. It is the purpose of this article to explore the use of such fables in early ἴαµβος, with particular emphasis on Semonides’ poem. It is shown to reflect the influence of a particular kind of creation story that is also found in Hesiodic poetry and Old 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".