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Record W2737624476

Legal History As Legal Scholarship: Doctrinalism, Interdisciplinarity, and Critical Analysis of Law

2017· article· en· W2737624476 on OpenAlexaff
Markus D. Dubber

Bibliographic record

VenueSSRN Electronic Journal · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicLaw in Society and Culture
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLegal historyLegal realismLawLegal professionEmpirical legal studiesJurisprudenceCivil law (Civil law)Philosophy of lawLegal researchScholarshipComparative lawCommon lawPolitical sciencePublic lawLegal formalismSociologyPrivate lawBlack letter law
DOInot available

Abstract

fetched live from OpenAlex

Legal history is having a methodological moment. So is law (and, as it turns out, history as well). And not just in one country or legal system but across the common law/civil law divide. In this essay I try to capture some aspects of this methodological moment — or moments — and then to add some reflections of my own that locate legal history within the enterprise of legal scholarship. More specifically, I will outline an approach to legal history that regards historical analysis as one mode of critical analysis of law, along with other modes of “interdisciplinary” analysis (economical, philosophical, sociological, literary, etc.) and “doctrinal” analysis. In this way, legal history plays a key role in the general effort to move beyond the long-standing and rhetorically useful, but ultimately unproductive, distinction between “modern” and “traditional” legal scholarship, and that between “common law” and “civil law” scholarship besides. According to this view of legal history, it is a mode of jurisprudence (in fact, we might call it New Historical Jurisprudence) rather than a sub-specialty of law or a form of applied history.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.017
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.004
Science and technology studies0.0090.080
Scholarly communication0.0170.022
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.357
Teacher spread0.333 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2017
Admission routes1
Has abstractyes

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