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Record W3045202888 · doi:10.3138/utlj-2019-0136

A theory of mistaken assumptions in contract law

2020· article· en· W3045202888 on OpenAlexaffvenue
Jennifer Nadler

Bibliographic record

VenueUniversity of Toronto Law Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsDoctrineAppealMistakeArgument (complex analysis)LawLaw and economicsFreedom of contractCommon lawPolitical sciencePhilosophySociology

Abstract

fetched live from OpenAlex

In Great Peace Shipping v Tsavliris Salvage, the English Court of Appeal rejected the equitable doctrine of mistaken assumptions, arguing that the doctrine lacks a principled foundation. Defenders of the doctrine appear to agree that the doctrine lacks a coherent animating principle, but they think that its open-endedness is an argument in its favour. Against both the critics and the defenders, this article argues that the equitable doctrine of mistaken assumptions is a principled doctrine, one that protects individual self-determination by setting aside a contract that, due to a mistake about the quality of the thing contracted for, serves the purposes of one of the contracting parties but none of the other’s. This defence of the equitable doctrine may seem to be an argument for replacing the narrow common law doctrine of mistaken assumptions with the equitable one, but I argue that it is not. The common law and equitable doctrines of mistaken assumptions are founded upon distinctive conceptions of human freedom, and each doctrine understands the normative significance of mistake in a manner suitable to the conception of freedom underlying it. Moreover, these conceptions of freedom are each incomplete on their own; they require each other for the vindication of their own claims to be conceptions of freedom. The English Court of Appeal was therefore wrong to conclude that the law of contracts must choose between the doctrines of common law and equitable mistaken assumptions; on the contrary, a law of contracts respectful of the freedom of its subjects requires both.

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)0.017
metaresearch head score (Gemma)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.027
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0070.045
Scholarly communication0.0110.022
Open science0.0040.007
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.033
GPT teacher head0.263
Teacher spread0.230 · 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 designNot applicable
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

Citations2
Published2020
Admission routes2
Has abstractyes

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