To burn it all? The practice of holocausts and moirocausts in ancient Greek religion
Bibliographic record
Abstract
This paper offers a review of holocaustic rituals in written and material sources arguing that this type of sacrifice was rare. It further addresses if the animal was burned whole or if the carcass was flayed, emptied of blood and intestines, and sectioned before being placed onto the fire. Since the evidence suggests that holocausts did not necessarily mean the burning of an intact animal, the relation between holocausts and moirocausts, sacrifices at which a larger part of the animal was burned, is also explored. Finally, the ancient evidence for holocausts is considered in the light of the results of the experimental cremation of a lamb and a pig performed at Uppsala in 2014. It is argued that a Greek holocaust may have aimed at burning the meat beyond human means of consumption rather than at a total annihilation of the carcass by fire, and that the long time it seems to have taken to perform a holocaust can be linked to the purpose of the ritual.
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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 | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".