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Record W4402609916 · doi:10.1017/lsi.2024.20

The Legal Realists on Political Economy

2024· article· en· W4402609916 on OpenAlexaff
Dan Priel

Bibliographic record

VenueLaw & Social Inquiry · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsPoliticsPolitical sciencePolitical economyEconomic systemEconomicsLaw

Abstract

fetched live from OpenAlex

Abstract Alongside the well-known jurisprudential ideas associated with legal realism, some scholars have highlighted the realists’ political-economic ideas. Best known among them has been Morton Horwitz, who has argued that the realists launched an “attack on the legitimacy of the market.” Other scholars challenged this view and argued that there was no significant connection between legal realism and political economic ideas. I offer a corrective to both views. I first consider the work of five legal realists (Karl Llewellyn, Adolf Berle, William O. Douglas, Jerome Frank, and Thurman Arnold) and show that all held views that were well within the political-economic mainstream of their era, which did not challenge the legitimacy of market capitalism but wanted to see markets better regulated. I also show that for many of these realists, there were important connections between their jurisprudential and political-economic ideas. I then turn to some neglected writings of Felix Cohen to show that he too saw a direct link between his legal and economic ideas. However, unlike the other legal realists discussed here, he was a radical critic of market capitalism. I use his political-economic writings for a reconsideration of his better-known jurisprudential works.

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)0.000
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 score0.972
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.117
GPT teacher head0.416
Teacher spread0.299 · 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
Published2024
Admission routes1
Has abstractyes

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