Eros Tyrannos: Alcibiades as the Model of the Tyrant in Book IX of the Republic
Bibliographic record
Abstract
Abstract The aim of this article is to make use of recent research on ‘politicaleros’ in order to clarify the connection that Plato establishes betweenerosand tyranny inRepublicIX, specifically by elucidating the intertextuality between Plato’s work and the various historical accounts of Alcibiades. An examination of the lexicon used in these accounts will allow us to resolve certain interpretive difficulties that, to my knowledge, no other commentator has elucidated: why does Socrates blameerosfor the decline from democracy into tyranny? What does he mean by ‘eros’ here, and what link existed betweenerosand tyranny in the minds of his contemporaries? And finally, who are the mysterious ‘tyrant-makers’ (turannopoioí, 572e5-6) who, according to Socrates, introduce a destructiveerosin the soul of the future tyrant? After a careful examination of the passage from book IX on the genesis of the tyrannical man (focused on the last stage of the metamorphosis, which is concerned withéros túrannos, 572d-573b), I will offer answers to these questions by turning to the writings of Thucydides, Aristophanes and Plutarch while examining the portrait of Alcibiades that Plato paints in theAlcibiades IandSymposium.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".