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Record W3122296257

The Possibility of Naturalistic Jurisprudence: Legal Positivism and Natural Law Theory Revisited

2017· article· en· W3122296257 on OpenAlexaff
Dan Priel

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsYork University
Fundersnot available
KeywordsLegal positivismNaturalismPositivismJurisprudenceEpistemologyLegal formalismArgument (complex analysis)Philosophy of lawNatural lawContradictionLegal realismNatural (archaeology)LawPhilosophySociologyPolitical scienceLegal researchComparative lawBlack letter lawPrivate law
DOInot available

Abstract

fetched live from OpenAlex

Contemporary legal philosophy is predominantly anti-naturalistic. This is true of natural law theory, but also, more surprisingly, of legal positivism. Several prominent legal philosophers have in fact argued that the kind of questions that legal philosophers are interested in cannot be naturalized, such that a naturalistic legal philosophy is something of a contradiction in terms. Against the dominant view I argue that there are arguable naturalistic versions of both legal positivism and natural law. Much of the essay is dedicated to showing that such views are possible: I identify naturalistic versions of a “natural law” view, a “positivist” view, as well as a “semi positivist” view, all of which are variants of the familiar (anti-naturalistic) views defended under these labels. I also offer a tentative argument in support of a naturalistic positivist view, one that has more in common with the views of Thomas Hobbes and Jeremy Bentham than with the anti-naturalistic positivist views popular these days.

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)0.001
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: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.009
GPT teacher head0.272
Teacher spread0.263 · 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

Citations1
Published2017
Admission routes1
Has abstractyes

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