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Record W1985582839 · doi:10.3138/utlj.041813-02ra

Normative jurisprudence and legal realism

2013· article· en· W1985582839 on OpenAlexvenueno aff
Hanoch Dagan

Bibliographic record

VenueUniversity of Toronto Law Journal · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLegal and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJurisprudenceLegal realismNormativeLegal formalismLegal positivismLawCritical legal studiesEmpirical legal studiesPolitical scienceRealismSociologyLegal historyLegal researchEpistemologyComparative lawPhilosophyPrivate lawBlack letter law

Abstract

fetched live from OpenAlex

This review article examines Robin West’s provocative new book Normative Jurisprudence: An Introduction. West provides a learned and sophisticated account of the decay of the three major jurisprudential traditions of North American legal theory: natural law, legal positivism, and critical legal studies, which leads to and is motivated by a spirited plea for the reinvigoration of distinctively legal normative scholarship. Her proposed genealogy is valuable and her preliminary blueprint for reform important. But I believe that both fronts can be significantly enriched by a more charitable reading of legal realism than the one she (briefly) provides. Thus, this review offers a competing genealogical account of the three contemporary approaches to law West criticizes, claiming that, like critical scholars, promoters of institutional fit and of economic efficiency are also intellectual descendants of legal realism. Legal realism, I insist, provides a subtle conception of law as a set of institutions distinguished by the irreducible cohabitation of power and reason, science and craft, tradition and progress. This conception, which was torn apart by the realists’ heirs, offers the key to a proper cure for the predicament West identifies by pointing to a robust understanding of legal theory and thus of the distinctive contribution legal scholars can make in normative debates.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.955
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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.162
Teacher spread0.152 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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