A Lesson in Patriotism: Lycurgus' Against Leocrates, the Ideology of the Ephebeia, and Athenian Social Memory
Bibliographic record
Abstract
This paper seeks to contextualize Lycurgus' use of the historical example of King Codrus' self-sacrifice within Athenian social memory and public discourse. In doing so, it offers a solution to the puzzle of Lycurgus' calling Codrus one of the ἐπώνυμοι τῆς χώρας (Lycurg. 88). I make the case that Codrus was one of the forty-two eponymous age-set heroes (Ath. Pol. 53.4–7) who played an important role in the Athenian military and socio-political system. I contend that devotion to the city's gods and heroes and knowledge of their mythology were essential parts of the religious and ideological instruction of Athenian ephebes. Consequently, Lycurgus' citation of the Ephebic Oath, the self-sacrifices of King Codrus and the daughters of Erechtheus, as well as his repeated invocation of the city's gods and shrines, must be seen as integral elements of his indictment of Leocrates for cowardice and treason, behavior that is diametrically opposed to the hoplite ethos and religious devotion that were instilled into young ephebes. Lycurgus thus brings the jurors' memories of their own ephebate into the courtroom and taps into emotions and values that lie at the heart of Athenian collective identity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.010 | 0.030 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".