Producing fire and hybrids as seen by the Midrash Aggadah: Polemic etiological myths?
Bibliographic record
Abstract
The current study analyzes several Midrashic sources that deal with the invention and discovery of fire and of the mule. It examines the narrative of the Midrashim, while comparing it with portrayal of the invention or source of these two elements in Greco-Roman mythology and culture. The rabbis did not openly voice their negative attitude to the mythological narrative concerning the discovery of fire or their reservations about crossbreeding in the Roman world. However, it seems that their homilies were polemical, aimed at presenting an alternative to the non-Jewish story. The Greek mythological narrative was rooted in a polytheistic world in which various mythological entities confronted each other, and fire figured in these confrontations. In contrast, in monotheistic Jewish thought, there is one God who grants fire to humankind with no restrictions or regret. The Jerusalem Talmud conveys the message that hybrids might be dangerous and harmful to humankind. The real-life existence of hybrid creatures that were particularly strong beasts led the ancients to assume that two animals of different species might bear other dangerous “monsters.” It is possible that the view of the Jewish sources is that crossbreeding is not merely a Jewish-religious prohibition but rather an environmental hazard. In fact, the two narratives are etiological stories. The story of Anah aims to explain an unclear verse describing the finding of the yemim and the story about the invention of fire explaining the meaning of the phrase “image of God” that sets aside human beings.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.026 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".