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Record W117043523 · doi:10.29173/agora10084

The American Judiciary Through the Lens of The Federalist Papers

2011· article· en· W117043523 on OpenAlexvenueno aff
Eric Rayment-Law

Bibliographic record

VenueThe Agora Political Science Undergraduate Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsOriginalismFederalistSupreme courtConstitutionLawArgument (complex analysis)Economic JusticePolitical scienceJudicial restraintJudicial reviewJudicial activismConstitutional lawPoliticsSociology

Abstract

fetched live from OpenAlex

The manner in which a Supreme Court justice ought to rule in any given case before him or her is a controversial topic in America, with a number of American lawmakers feeling that each justice should exercise “judicial restraint.” Those who feel this way often subscribe to the interpretive strategies of strict construction or originalism, which both cast judges as activists who have a political agenda, imposing it on America while ignoring the Constitution. As a remedy to their grievances, constructionists propose that the constitutional text should be rigorously adhered to while constitutional rights should be narrowly defined. Similarly, originalists propose that the Justices of the American Supreme Court interpret the law according to the intentions of the founding generation. This paper assesses the validity of these interpretive strategies by entertaining the originalist argument (albeit modified) and deferring judgment in this matter to The Federalist number seventy-eight and number ten. Upon analysis of these American founding documents, it is found that the intent of the founding generation to indeed create a judiciary that adheres to the parameters set by the Constitution, but also one that possesses room to incorporate their own judicial philosophies into their legal interpretations as opposed to one that exercises strict judicial restraint.

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)0.003
metaresearch head score (Gemma)0.001
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0120.053
Scholarly communication0.0000.000
Open science0.0030.000
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 head0.049
GPT teacher head0.322
Teacher spread0.273 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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