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Record W1988984160 · doi:10.3138/utlj.1123

THE LAW AND POLITICS OF UNJUST ENRICHMENT

2013· article· en· W1988984160 on OpenAlexaffvenue
Dan Priel

Bibliographic record

VenueUniversity of Toronto Law Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsRestitutionLawCommonwealthPoliticsPolitical scienceMainstreamRealismPrivate lawLegal realismComparative lawSociologyLaw and economicsPhilosophyEpistemology

Abstract

fetched live from OpenAlex

One of the marked differences between American private law and the private law of the rest of the common law world is the relative lack of interest in restitution in the former compared with the enthusiasm for the subject in the latter. It has recently been suggested that this difference has to do with the impact of legal realism on American law. It is realism’s disdain for doctrinal analysis, it is said, which explains why American scholars did not find the largely doctrinally driven work on restitution very interesting. In this article, I reject this argument, as it fails to explain why American scholars did not turn to non-doctrinal restitution scholarship in the same way they have in areas like contract or tort. I offer a different explanation instead, one that derives from the different understanding of the relationship between law and politics among (mainstream) American and Commonwealth lawyers. I argue that it is this difference that explains both why Commonwealth lawyers felt the need to develop restitution as a solution to outstanding problems in other areas of private law and why American lawyers, in their different political tradition, had little need for restitution to perform this role. I further argue that legal realism does not explain the difference between the United States and the Commonwealth on this matter. On the contrary, I argue that the very different fates of legal realism in the United States and in other parts of the common law world are explained by the very same underlying differences between law and politics the article identifies.

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 categoriesScience and technology studies
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 score0.987
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Citations4
Published2013
Admission routes2
Has abstractyes

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