Bibliographic record
Abstract
The subject of this article is the classical Greek history of religion, particularly ritual sacrifice in relation to political ethics. This article recovers the lost meaning of the Delphic knife made by coppersmiths that Aristotle’s Politics (1.2 1252b) contrasted with the city famously made by Nature. It dismisses traditional conjectures about the knife as historically inaccurate about its craft and philosophically uninformed about Aristotle’s doctrine of the final cause, or purpose, of making something. It states the obvious purpose of a knife as cutting, which Aristotle skillfully practiced as the first anatomist, or dissector. It documents the purpose of a classical Greek ritual knife to divide the carcass of a sacrificed animal into equitable portions for civic distribution. It identifies Neoptolemus, the legendary hero turned villain, who was stabbed during his sacrifice at Delphi as an exemplar of greed in quarreling with the temple butcher for an excessive share of the allotted meat. Aristotle alluded to the popular drama and poetry about his and other violations of the Delphic maxim “nothing in excess.” His Politics argued against political factions as greedy, thus divisive of the city that Nature made a whole. He approved of ritual sacrifice as a civic bond, and he taught civic moderation in conformity with his well-known ethics of personal moderation.
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 | 0.001 | 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 | 0.006 | 0.018 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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".