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Record W2130704102 · doi:10.1177/0090591713485371

Political Corruption and the Concept of Dependence in Republican Thought

2013· article· en· W2130704102 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePolitical Theory · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsLanguage changePoliticsIndependence (probability theory)Power (physics)Dependency (UML)LawSociologyPolitical corruptionLaw and economicsPolitical economyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

The concept of dependence is central both to the study of modern republicanism and to the study of systemic corruption. Recently, Lawrence Lessig has described American politics as suffering from “dependency corruption,” a type of institutional corruption about which eighteenth-century republican writers were extremely worried. This article examines the use of the concept “dependence” in the current “neo-roman” republican theory stemming from Quentin Skinner, Maurizio Viroli, and particularly Philip Pettit. The article argues that the term dependence has two essentially distinct inflections, one relating to outright domination (subjection to arbitrary power) and the other relating to a condition of material subordinacy (dependency corruption). If liberty is the “the absence of dependence on the will of others,” it is extremely important to determine just what independence entails. This article suggests that dependency corruption was a dominant concern of the modern republican tradition, but it is a concern that is largely ignored in today’s new republicanism. By way of a foray into the seventeenth- and eighteenth-century sources employed by the new republicans, the article attempts to revive a manner of thinking about corruption that risks being lost to view.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.932
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.009
Scholarly communication0.0000.000
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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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