Bibliographic record
Abstract
Abstract Euhemerus, the famous theorist on the nature of the gods who lived around 300 BC, has usually been discussed as a disembodied intellectual figure, with scholars focusing on his literary and philosophical sources and influence. Although he is called “Euhemerus of Messene,” there is uncertainty as to where he was born, lived, and worked, in particular whether he came from Sicilian or Peloponnesian Messene. Until now, the conquests of Alexander the Great and the establishment of the Successor Kingdoms have been considered the only context for Euhemerus. This paper will draw upon literary, historical, and archaeological evidence to argue that Euhemerus belongs in a Sicilian context. The long history of the worship of rulers in Sicily from the oikistai to the tyrants of Syracuse, the wealth of Sicily, the proximity of the Lipari Islands, the multiethnic milieu of Sicily with its vigorous interaction and syncretism, all contributed to Euhemerus' experiences and thought. We suggest that centuries of Sicilian cultural and political experience, not merely the “phenomenon” of Alexander the Great and the dawn of the Hellenistic Age, provided the impetus to the ideas of Euhemerus, and that Euhemerus brought this Sicilian contribution to bear on the new problems of the wider world.
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.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.026 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".