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Record W4252619127 · doi:10.3138/utlj.59.3.265

LORD WRIGHT AND INNOVATIVE TRADITIONALISM

2009· article· en· W4252619127 on OpenAlexvenueno aff
Neil Duxbury

Bibliographic record

VenueUniversity of Toronto Law Journal · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsWrightLawRestitutionTortDutyLaw and economicsStatutory lawSociologyAppealPolitical scienceLiabilityEconomicsHistory

Abstract

fetched live from OpenAlex

This study presents the mid-twentieth-century English lord of appeal, Lord Wright, as an innovative traditionalist judge. Judges have a duty to be creative, Wright believed, but only within the framework of existing legal authority. Wright explained his innovative traditionalist perspective in relation to precedent, public policy, and legislation, and he illustrated his perspective particularly by way of contributions to decisions on worker compensation, commercial contracts, restitution, and international criminal law. He was not always a bold judge, as is especially evident from his contribution to Liversidge v. Anderson. But his efforts to develop the law without undermining established precedents and statutory authority could be subtly effective. In contract and tort decisions, he consistently argued that personal liability should attach only to outcomes that could reasonably have been expected to come about. He was realistic, and believed courts must be realistic, about the tendency of the business world to be guided primarily by its own norms. He incisively criticized implied contract theory and advanced a conception of unjust enrichment that, in England, was considerably ahead of its time. In employment law, he added a twist to freedom-of-contract reasoning, arguing that if it is permissible for individuals to use their economic advantage to impose contractual terms on weaker parties, then it should also be permissible for those parties to combine and gain the upper hand. After World War II, he argued that the positive laws necessary for punishing war criminals already existed. This study draws these arguments together in an effort to capture Wright's judicial style and to show that some of his contributions to legal thought and doctrine run deep and are historically significant.

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 categoriesnone
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 score0.966
Threshold uncertainty score0.990

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)0.0010.000

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 head0.015
GPT teacher head0.252
Teacher spread0.238 · 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.

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".

Quick stats

Citations7
Published2009
Admission routes1
Has abstractyes

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