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Record W21740786 · doi:10.29173/alr326

Doing “Practical Justice” for Duress in Contract Law

2009· article· en· W21740786 on OpenAlexvenueno aff
M.H. Ogilvie

Bibliographic record

VenueAlberta Law Review · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsAppealLawRescissionEquity (law)Economic JusticeMistakeCommon lawPolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

Cases of duress in contract law are few and far between. Most are concerned with improper threats or taking advantage of a weaker party to procure a contract rather than with actual physical threats of the “[y]our money or your life” variety, which are more likely to be controlled by the criminal law. A recent decision on a preliminary issue of law in relation to duress in the English Court of Appeal answered an interesting question that appears never to have been raised in earlier cases about duress, that is, whether rescission of a contract can be granted where restitution is impossible because one of the parties has destroyed documents relating to the contract as required by the contract so that they could not be restored. The trial judge found that rescission could not be granted and that no other remedy was available in the common law for duress, but the Court of Appeal reversed that finding by assimilating the fact situation with those in which equity has done “practical justice,” thereby further fusing the common law and equity relating to duress and undue influence, and possibly also fraud as well. The facts of this highly complex case, which also involved conflict of laws, mistake, frustration, and uncertainty have yet to be resolved at trial, but the Court of Appeal entertained two preliminary questions of law, duress, and conflict of laws before sending the case to trial. This comment is focused on the duress point.

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)0.032
metaresearch head score (Gemma)0.039
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 score0.032
Threshold uncertainty score0.167

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.039
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.061
Scholarly communication0.0080.012
Open science0.0020.004
Research integrity0.0140.016
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.416
Teacher spread0.368 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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