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Record W4392154107 · doi:10.1086/729279

Educating the Body Politic: How Hobbes’s Civil Science Strengthens and Constrains the Sovereign

2024· article· en· W4392154107 on OpenAlexaff
Zachariah Black

Bibliographic record

VenuePolity · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicSeventeenth-Century Political and Philosophical Thought
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSovereigntyBody politicPolitical scienceLawLaw and economicsEnvironmental ethicsSociologyPoliticsPhilosophy

Abstract

fetched live from OpenAlex

This article argues that the teaching of Leviathan’s doctrine in the universities is meant to contribute to a language of politics within which the sovereign will be pressured to operate by procedural considerations. The sovereign’s reach over citizens is attenuated by the apparatus of government, as Hobbes’s first description of the Leviathan makes clear, and Hobbes expected the sovereign’s ministers, suitably trained in his doctrine, to have a mediating effect on the sovereign’s power. The sovereign’s laws are to be enacted and enforced by ministers who have been educated in Hobbesian civil science and therefore expect that the sovereign will rule in accordance with that science. Even ordinary citizens will be familiar with the broad outlines of Hobbesian civil science and will notice when laws and policies fail to perform the business of the state. When Leviathan’s doctrines are publicly taught, sovereignty is strengthened by a teaching so favorable to sovereign power, but it is also constrained insofar as those doctrines set expectations for how the ruler will exercise their power. It is not in acts of individual or collective resistance that the sovereign’s commands are to be moderated in the direction of the common good, but through the expectations of subjects, and especially of those subjects who serve as ministers, set by sovereigns themselves through the public promulgation of Leviathan’s doctrine.

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 categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.833
Threshold uncertainty score1.000

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 studies0.0010.004
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.046
GPT teacher head0.275
Teacher spread0.228 · 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.

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

Citations1
Published2024
Admission routes1
Has abstractyes

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