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Record W2621070810 · doi:10.1017/s0003055417000107

Montesquieu's Teaching on the Dangers of Extreme Corrections: Japan, the Catholic Inquisition, and Moderation in<i>The Spirit of the Laws</i>

2017· article· en· W2621070810 on OpenAlexaff
Nathaniel K. Gilmore, Vickie B. Sullivan

Bibliographic record

VenueAmerican Political Science Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModerationEnlightenmentOrientalismLawNeutralityEurocentrismNoticePolitical scienceSociologyPhilosophyTheologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Explicitly and implicitly in The Spirit of the Laws , Montesquieu binds together the Japanese who persecute Christians and the Inquisitors of Catholicism who persecute heretics. In seeking purity, both sets of vehement reformers impose atrocious punishments. In so binding the abuses of the East and West together, the work is an expression neither of Orientalism nor of Eurocentrism as conventionally understood. Although Montesquieu thus offers a critical approach to Europe's vulnerability to reformers who go to extremes, whether pious zealots who seek to perpetuate Christianity or zealous Enlightenment philosophes who would seek to eradicate it, many commentators have focused on the work's apparent neutrality with regard to the various cultural phenomena it examines. The key to understanding Montesquieu's reserved tone lies in his commitment to moderation. Given the West's continuing vulnerability to extremism of various types, Montesquieu's moderate teaching on the need for moderation in corrections remains pressingly relevant.

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)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.017
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.066
GPT teacher head0.389
Teacher spread0.323 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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