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Record W2170826547 · doi:10.1177/0090591713476050

“Office Is a Thing Borrowed”

2013· article· en· W2170826547 on OpenAlexaff
Daniel Lee

Bibliographic record

VenuePolitical Theory · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAbsolute monarchyPoliticsSovereigntyLawDoctrineNormativeState (computer science)Government (linguistics)SociologyPower (physics)Law and economicsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Jean Bodin’s analysis in Six Livres de la République is often understood as evidence of his alleged political absolutism. This article examines Bodin’s theory of offices to argue that this is a misguided view of Bodin’s political thought. I begin by revisiting Bodin’s distinction between the “sovereignty” and the “government” of the state. It is in the analysis of the latter that Bodin constructs a normative doctrine warning of the dangers of “ seigneurial” rule. As I show, Bodin’s purpose was to reject seigneurial rule by contrasting it with lawful rule, the mode of government in which public power was discharged according to law and custom, not by seigneurial will. Essential to Bodin’s analysis was a concept of public office that envisioned the officer as an independent intermediary “borrowing” public powers, not from higher magistrates or from the prince (as medieval lawyers traditionally argued), but only from the impersonal state.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.010
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0050.005
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.027
GPT teacher head0.230
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), 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

Citations49
Published2013
Admission routes1
Has abstractyes

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