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Record W2467025135 · doi:10.3138/ecf.28.4.623

Fear, Liberty, and Honourable Death in Montesquieu’s <i>Persian Letters</i>

2016· article· en· W2467025135 on OpenAlexvenueno aff
Megan Gallagher

Bibliographic record

VenueEighteenth-Century Fiction · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsnot available
Fundersnot available
KeywordsCouragePassionsPassionPoliticsSubject (documents)WifeState (computer science)PhilosophyRulerPersianPsychoanalysisLawLiteraturePsychologyEpistemologyArtTheologyPolitical scienceSocial psychologyPhysics

Abstract

fetched live from OpenAlex

I read Montesquieu’s Persian Letters as an attempt to theorize a liberated alternative to despotic rule. As Montesquieu argues in The Spirit of the Laws, fear—specifically fear of the ruler’s emotional and material excesses—dominates the life of the despotic subject. Although in the Letters the seraglio is the despotic state’s parallel, the seraglio is the site of overflowing and barely governed passions. Montesquieu’s solution to the excesses of the seraglio is not the eradication of emotion; rather, he offers a template for transforming negative passion—fear—into courage, a prelude to a potentially liberating experience. This transformation is por trayed most clearly in the character of Roxane, the rebellious wife whose courageous actions precipitate the collapse of the seraglio. I argue that Roxane’s insurrection and suicide evoke a model established by the Roman matriarch Lucretia. Though not traditional polit ical actors themselves, both Lucretia and Roxane anticipate the possibility of a personal and political libera tion through their refusal of fear-based, despotic politics in favour of alternative emo tion al regimes based in courage.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.889
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.257
Teacher spread0.243 · 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 designNot applicable
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
Published2016
Admission routes1
Has abstractyes

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