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Record W2332600554 · doi:10.1177/1468795x13480689

Paradoxes of sovereignty: Toward a Durkheimian analysis of monarchy

2013· article· en· W2332600554 on OpenAlexaff
William Ramp

Bibliographic record

VenueJournal of Classical Sociology · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theology and Sovereignty
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsMonarchySovereigntyPoliticsSociologyThroneLawInstitutionAbsolute monarchyPopular sovereigntyPolitical philosophyDilemmaEpistemologySocial sciencePhilosophyPolitical science

Abstract

fetched live from OpenAlex

In sociological or political-theoretical discussions of monarchy, the voice of Émile Durkheim is mostly absent. Although Durkheim himself had little to say on the topic, his theory of religion, and elements of his political sociology, provide resources for an engagement with monarchy both as a social institution and as a political possibility. The twentieth-century crisis of religion which Durkheim addressed in a particularly trenchant fashion has an analogue in the twentieth-century crisis of monarchical sovereignty: its supposed collapse into irrelevance, its survival, and its return in other forms. In the work of Schmitt and Agamben, this is represented as a theologico-political dilemma. This article explores what Durkheimian sociology might still contribute to a discussion of sacral and juridical aspects of sovereignty. By this is meant not only examination of its sociopolitical location and functions, but also a study of the ‘fictions’ and paradoxes of monarchical sovereignty as exemplary instances of the paradoxicality of the social. What are the features and consequences of a king-shaped hole or an empty throne in modern political imaginaries?

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)0.003
metaresearch head score (Gemma)0.005
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 score0.008
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0040.025
Scholarly communication0.0060.009
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.341
Teacher spread0.303 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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