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Record W4303962096 · doi:10.1017/s0034670522000912

Plebiscites, Referendums, and Ballot Initiatives as Institutions of Popular Sovereignty: Rousseau's Influence on Competing Theories of Popular-Vote Processes

2022· article· en· W4303962096 on OpenAlexafffund
Spencer McKay

Bibliographic record

VenueThe Review of Politics · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Theory and Influence
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPopular sovereigntySovereigntyCondorcet methodPolitical scienceGeneral willPower (physics)Law and economicsSociologyLawPoliticsVoting

Abstract

fetched live from OpenAlex

Abstract Popular-vote processes — such as plebiscites, referendums, and initiatives — are frequently understood as Rousseauian instruments of popular sovereignty. Yet, Rousseau did not theorize these devices himself. As a result, he has been claimed by proponents of competing theories of popular-vote processes. Theorists of sleeping sovereignty have claimed Rousseau's distinction between sovereignty and government in support of rare, constitutional referendums. Theorists of direct democracy invoke Rousseau's criticism of representation to demand frequent referendums. Plebiscitarianism casts Rousseau's general will as demanding the unification of the nation in one popularly legitimated leader through top-down plebiscites. Lastly, Condorcet's proposal for the “censure of the people” outlines how the sovereign could initiate popular votes itself in order to check the power of the government. I contend that Condorcet's account provides the most compelling link between Rousseau's account of popular sovereignty and the institutional design of popular-vote processes.

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)0.025
metaresearch head score (Gemma)0.039
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 score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.039
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0030.030
Scholarly communication0.0110.007
Open science0.0020.004
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0050.000

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 head0.048
GPT teacher head0.366
Teacher spread0.318 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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