Bibliographic record
Abstract
Chapter 1 starts by tracing the archaeology of carpe diem . Rather than speculating about the origin of a motif that is already attested in Akkadian and Egyptian sources, this chapter looks at the Greeks’ own discourse of the past and how they constructed the origins of the motif. The focus of the chapter is the hedonistic epitaph of the legendary last king of Assyria, Sardanapallus. Greeks were fascinated with this foreign carpe diem text which seemed to precede their own history. In fact, however, it was by misunderstanding this foreign monument that they recreated its text; lurking behind Sardanapallus’ Assyrian orgy are Greek banquets and the present tense of performative Greek lyric. The chapter shows that the Sardanapallus epitaph allows for fascinating insights into Greek ways of reading epigrams. As the chapter discusses the reception of the Sardanapallus epitaph in authors such as Callimachus, Crates, Chrysippus, Alexis, and Rabirius, it shows how one of Epicurus’ detractors forges a false link between Epicurus and carpe diem , when he changes one word of the epitaph.
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 | 0.000 | 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 | 0.004 | 0.010 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".