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Record W2969451865 · doi:10.1017/cjlj.2019.21

Contract Damages, Moral Agency, and Henry James’ <i>The Ambassadors</i>

2019· article· en· W2969451865 on OpenAlexaff
Jennifer Nadler

Bibliographic record

VenueCanadian Journal of Law & Jurisprudence · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsDamagesPlaintiffAgency (philosophy)Compensation (psychology)Law and economicsMoral agencyFinancial compensationAgency costLawEconomicsBreach of contractActuarial scienceBusinessSociologyPolitical scienceFinancePhilosophyPsychologySocial psychologyEpistemology

Abstract

fetched live from OpenAlex

Abstract This paper enters the dispute over the proper interpretation of the expectation measure of damages in contract law. Should damages be measured by the plaintiff’s financial loss or by the cost of acquiring a substitute performance (“cost of cure”)? I begin by presenting a moral (as opposed to an economic or a pragmatic) justification for the traditional contract principle that a plaintiff has a right to compensation for the financial loss flowing from breach but no right to performance. I do so by showing that implicit in the principle that the plaintiff has a right to compensation for financial loss alone is a conception of moral agency as a capacity for detachment from things. Through an exploration of Henry James’ novel The Ambassadors, I try to show what is valuable in that conception, although I argue that it is, in the end, incomplete. Then I consider the self-authorship conception of moral agency implicit in the moralist’s proposal to replace the financial loss remedy with a right to performance or to compensation for the cost of securing a substitute performance. Again, through a reading of James’ novel, I try to show what is valuable in this conception although I argue that it too is incomplete. I suggest that the conceptions of moral agency respectively implicit in the financial loss and cost of cure remedies are constituent parts of a complete conception. Once we see this, we arrive at a moral justification for a contract law which treats compensation for financial loss as the normal rule but exceptionally allows for a remedy that aims at securing performance.

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 score0.958
Threshold uncertainty score0.875

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 science0.0010.000
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 head0.020
GPT teacher head0.282
Teacher spread0.263 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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