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Record W2301249481

The Antidomination Model and the Judicial Oversight of Democracy

2008· article· en· W2301249481 on OpenAlexaff
Yasmin Dawood

Bibliographic record

VenueTSpace (University of Toronto) · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsUniversity of Toronto
FundersAndrew W. Mellon Foundation
KeywordsGerrymanderingDemocracySupreme courtAdjudicationPolitical scienceJudicial reviewLaw and economicsLawHarmNormativePower (physics)SociologyPolitics
DOInot available

Abstract

fetched live from OpenAlex

The judicial oversight of democracy has posed intractable problems for constitutional law. Nowhere is this challenge more evident than in the Supreme Court’s ongoing attempts to develop a coherent approach for the adjudication of partisan gerrymandering claims. This Article therefore proposes a new framework - the antidomination model - which sheds fresh light on the Supreme Court’s supervision of democracy. I argue that a critical aspect of the problem, but one that is under-theorized and often overlooked, is that many of the pathologies that affect the democratic process are best conceptualized as instances of domination; that is, they have at their core an illegitimate exercise of public power. The problem posed by the abuse of power, however, has not been directly addressed in a sustained way by courts and commentators. This Article therefore advances a normative and institutional theory of antidomination that would allow courts to minimize the illegitimate exercise of power by public officials in the design of democratic institutions, without also involving courts too deeply in determining what that design should be. Under the antidomination model, the principal role of the courts is to minimize domination and the appearance of domination in the processes through which democratic institutions are designed. The antidomination model offers a new approach for conceptualizing and resolving partisan gerrymandering claims.
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\nThis Article proceeds in four parts. In Part I, I argue that courts should adopt a “minimizing democratic harms” approach in which the judicial task is to prevent or minimize the democratic harm of domination. By contrast, conventional accounts in the election law scholarship at times follow a “maximizing democratic goods” approach under which one democratic ideal - participation, competition, or equality - is presented as the objective to be achieved by judicial intervention. In general, I suggest that courts are better suited to minimizing democratic harms than to maximizing democratic ideals.
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\nPart II develops the normative dimension of the antidomination model by focusing on the concepts of domination and power, and by engaging extensively with democratic and republican theory. Part III describes the institutional dimension of the antidomination model. Under a domination-minimizing approach, the burden is on elected officials to demonstrate that the process by which a redistricting map was adopted did not involve the illegitimate exercise of public power. The role of the courts, by contrast, is to assess the validity and legitimacy of the legislative decision-making process. This institutional division of labor would serve to correct the negative institutional incentives of legislators to manipulate the rules of the game, and would spare courts from having to design remedies for democratic pathologies.
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\nPart IV offers an extended application of the proposed framework by focusing on the Supreme Court’s decision in Vieth v. Jubelirer. In so doing, this Article takes preliminary steps in articulating what a structural approach to resolving partisan redistricting claims would entail. In addition, this Article develops a methodology for evaluating the structural impact of the Supreme Court’s election law decisions on the organization and exercise of power.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.011
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.237
Teacher spread0.221 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2008
Admission routes1
Has abstractyes

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