Joseph as a Model for Faunus-Hermes: Myth, History, and Fiction in the Fourth Century
Bibliographic record
Abstract
Abstract Faunus-who-is-also-Hermes is one of the composite god-kings dealt with in the polemical Christian 'Picus-Zeus narrative' of the fourth century. The narrative of his life is based on the Biblical account of Joseph, along with the elaborations on Joseph's life in Hellenistic Jewish fiction. Whereas Joseph is a virtuous hero, however, Faunus-Hermes is a villain who practices sorcery and usurpation and ultimately induces men to worship him as a god. The Hellenistic novels and especially the philosophical considerations of Philo of Alexandria accentuate the ambiguities in Joseph which might allow a bad character to be developed out of his good character. The Clementine Recognitions, moreover, offer an understanding of history and human character according to which good and evil come in contrasting and inimical pairs. Altogether, the use of Joseph as a model for Faunus-Hermes allows the author to subtly introduce a moral message in what seems to be a blunt and unadorned history.
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".