BETWEEN ARISTOTLE AND LUCRETIUS: DISCOURSES OF NATURE AND ROUSSEAU’S<i>DISCOURS SUR L’INEGALITE</i>
Bibliographic record
Abstract
In theDiscourse on Inequality, Rousseau presents himself as declaiming in “the Lyceum of Athens” but in the presence of Plato and Xenocrates. Why should Rousseau's arguments be heard in such precincts, and why, moreover, is Aristotle missing from them? Rousseau's response to the topic proposed by the Dijon Academy, on which the Discourse was based, may be correspondingly interpreted as a response to Aristotle's philosophy of nature and of the ways in which that philosophy informs thePoliticsin particular. The critique Rousseau thereby offers of an Aristotelian discourse of nature and society invokes a similar challenge once presented by ancient Epicureanism, and reflects the extraordinary revival of interest in Lucretius’On the Nature of Things, a poem that became the focus of intense critical scrutiny during the Enlightenment. We may therefore understand why theDiscourse on Inequalitywas read as an “Epicurean” text by certain contemporaries, and recognize particular critical objectives served by Epicurean philosophical resources that were further deployed in works like theSocial ContractandLetters Written from the Mountain, reflecting Rousseau's engagement with Genevan reform politics of the 1750s and 1760s.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.072 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| 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".