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Record W3149062924

Contract Damages, Moral Agency, and Henry James’ The Ambassadors

2019· article· en· W3149062924 on OpenAlexaff
Jennifer Nadler

Bibliographic record

VenueSSRN Electronic Journal · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsDamagesPlaintiffAgency (philosophy)Compensation (psychology)Law and economicsMoral agencyFinancial compensationAgency costLawBreach of contractEconomicsBusinessActuarial sciencePolitical scienceFinancePhilosophyPsychologySocial psychologyEpistemology
DOInot available

Abstract

fetched live from OpenAlex

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 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)0.005
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.029
Scholarly communication0.0090.006
Open science0.0010.004
Research integrity0.0060.009
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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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
GenreOther

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

Explore more

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