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Record W3124923529

Democratic Jurisprudence and Judicial Review: Waldron's Contribution to Political Positivism

2010· article· en· W3124923529 on OpenAlexaff
Richard Stacey

Bibliographic record

VenueSSRN Electronic Journal · 2010
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLegal positivismPositivismJurisprudencePoliticsNormativeDemocracyConstitutionalismLawLegal formalismArgument (complex analysis)Political philosophySociologyPolitical scienceEpistemologyLegal realismPhilosophyLegal researchComparative lawMedicinePrivate law
DOInot available

Abstract

fetched live from OpenAlex

This article engages legal positivism conceived of as a political project rather than as a descriptive account of law. Jeremy Waldron’s ‘democratic jurisprudence’ represents such a politicized legal positivism—a normative argument for legal positivism rather than a non-normative claim that legal positivism is true. Unsurprisingly, the essential institutional elements of this democratic jurisprudence turn out to be the familiar features of classical legal positivism, and the case Waldron makes against judicial review grows out of his overarching political position. But, consequently, if there are reasons to doubt the strength of Waldron’s case against judicial review, there are surely reasons to doubt the normative bases of his case for positivism, and in turn, descriptive or conceptual positivism more generally. This article investigates this claim, noting that Waldron’s political case for positivism is based on Kantian notions about moral autonomy given circumstances of moral disagreement, but that Waldron’s conclusions about the role of judges undermine both these Kantian foundations and the aims of democratic jurisprudence. While Waldron’s arguments revive a tradition of political positivism that goes back to Bentham, engagement with those arguments suggests that legal positivism ultimately must embrace a radical democratic form of anti-constitutionalism.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.200
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.006
GPT teacher head0.262
Teacher spread0.256 · 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.

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

Citations0
Published2010
Admission routes1
Has abstractyes

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