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Remedies and Alternative Contracts

2007· article· en· W2003953273 on OpenAlexaff
Benjamin Alarie, James Dinning

Bibliographic record

VenueAmerican Business Law Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsWestern UniversityWilfrid Laurier UniversityUniversity of Toronto
Fundersnot available
KeywordsRemedial educationDamagesNormativeLaw and economicsCommon lawBreach of contractLawProcess (computing)BusinessPolitical scienceEconomicsComputer science

Abstract

fetched live from OpenAlex

Contracts that contemplate alternative possible modes of performance, frequently referred to as alternative contracts, are common wherever written contracts are routinely used and relied upon. Nevertheless, courts in major legal systems have encountered enormous difficulty articulating a consistent and appropriate remedial principle to govern damages when such contracts are breached by the contracting party having the election to perform in alternative ways. This article analyzes this issue, and attempts to identify the most appropriate remedial principle for breaches of alternative contracts. To this end, Part I adopts a positive standpoint canvassing the rules governing remedies in a number of leading common law and civilian jurisdictions and illustrating in the process that remedies for breaches of alternative contracts are not consistently approached across jurisdictions. Indeed, even within several jurisdictions there are inconsistencies. Part II takes a normative approach to the question and illustrates that the most desirable remedial principle is a solution that has not yet been adopted for breaches of alternative contracts. Strikingly, we demonstrate that the ordinary common law remedy for breach of contract can be regarded as a special case of the most appropriate remedial approach for contracts with one or more modes of performance. Part III offers some thoughts regarding the possible reconciliation of Parts I and II, suggesting that existing rules may be normatively justified as the second-best in some circumstances. Part IV concludes with the suggestion that courts adopt the principle that the mode of performance that would be selected by the party with the election if specific performance were ordered be used for the purposes of assessing damages.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.019
GPT teacher head0.331
Teacher spread0.311 · 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 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

Citations1
Published2007
Admission routes1
Has abstractyes

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