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Record W2276879045

Representation Reinforcement through Advisory Commissions: The Case of Election Law

2005· article· en· W2276879045 on OpenAlexaboutno aff
Christopher Elmendorf

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicLaw, Rights, and Freedoms
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceElection lawLawCommissionLegislatureReferendumStatuteDemocracyLaw and economicsConstitutional lawEconomics
DOInot available

Abstract

fetched live from OpenAlex

An increasingly prominent strain of legal commentary warns that the democratic good of robust political competition is endangered by legislators' penchant for enacting, and preserving, statutes that entrench incumbent officials and dominant political parties against challengers. This political entrenchment dynamic is thought to warrant external regulation of the content of election law by a politically insulated constitutional court or regulatory commission. Drawing on recent institutional innovations in Australia, Canada, and England, this Article suggests a different institutional remedy for the entrenchment problem: a permanent advisory commission, authorized to draft bills for the legislature to consider under a closed-rule procedure, or for the citizenry to address by referendum. The approach suggested here provides an answer to the two main criticisms that have been lodged against external regulation in the interest of fair political competition: that such regulation is democratically illegitimate, and that the regulator itself is likely to be captured by political insiders. The standing advisory commission can be expected to do a better job of identifying and pursuing normatively appropriate reforms than would an otherwise similar external regulator. The very tenuousness of the advisory commission's de facto power to reform the law (depending as it does on public opinion) should make the body a more reliable agent of the citizenry's interests and concerns. And in the event that the body falls under the sway of political insiders, it stands to do much less damage than a captured external regulator, thanks to the voters' freedom to ignore it.

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)0.002
metaresearch head score (Gemma)0.000
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 score0.858
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.322
Teacher spread0.299 · 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 teacher head, not a consensus.

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

Citations3
Published2005
Admission routes1
Has abstractyes

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