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Record W1585688467

'Mixing Larceny with the Spirit of Justice': Rousseau as the Modern Lycurgus

2012· article· en· W1585688467 on OpenAlexaff
Dorina Verli

Bibliographic record

VenueSSRN Electronic Journal · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicRousseau and Enlightenment Thought
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsVirtueAdmirationPoliticsPhilosophyLegislatorNatural (archaeology)Social contractEnlightenmentEconomic JusticeLawPolitical scienceEpistemologyLiteratureHistoryArt
DOInot available

Abstract

fetched live from OpenAlex

This essay examines a heretofore neglected aspect of Rousseau’s republicanism - his discussion of ancient Sparta. While Rousseau’s admiration for ancient republican virtue is well-known, very brief if any attention is paid to his singling out of the Spartan as the model citizen, and Lycurgus as the model legislator in his chiefly political works. This move on his part is especially puzzling in light of the fact that enlightenment thinkers, like their ancient counterparts, characterized Sparta as a militaristic and extremely conservative society, and hence found very little worthy of emulation in its example. His contrarian tendencies notwithstanding, however, I argue that Rousseau’s concern with Sparta was not primarily polemical, but rather a very significant reflection of his concern with the place of natural liberty in the properly ordered community. Lycurgus’ paradoxical mixing of, in the words of Montesquieu, “larceny with the spirit of justice” reflects Rousseau’s own paradoxical goal of combining natural liberty with legitimate government in the Social Contract. Rousseau understood Lycurgus’ Sparta as a regime whose chief concern was not martial virtue, but rather the incorporation of natural liberty within the bounds of the political community. Hence, our understanding of Rousseau’s modern republicanism can be significantly deepened by an examination of the way in which he both adopted and modified the lessons of Plutarch’s Lycurgus (his chief source on the Spartan regime).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.716
Threshold uncertainty score0.764

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.225
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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