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Record W3198668915 · doi:10.1017/s1352325221000161

FREEDOM FROM THINGS: A DEFENSE OF THE DISJUNCTIVE OBLIGATION IN CONTRACT LAW

2021· article· en· W3198668915 on OpenAlexaff
Jennifer Nadler

Bibliographic record

VenueLegal Theory · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsYork University
Fundersnot available
KeywordsObligationImpossibilityDutyPlaintiffDamagesValue (mathematics)Law and economicsLawBusinessBreach of contractEconomicsPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This article argues that the disjunctive obligation in contract law can be justified on moral grounds. It argues that from a perspective that regards human beings as free agents capable of choice and therefore independent of material objects, the contracting parties must be understood as agreeing to mutually guarantee one another's ownership of a certain value. This guarantee can be fulfilled either by handing over what was promised or by making up the difference between the market value and the contract value of what was promised. The plaintiff's contractual right is therefore a right that the defendant perform or pay. This makes expectation damages intelligible as a vindication of the plaintiff's contractual right. Moreover, the disjunctive obligation can be reconciled with all the doctrines that others take to be decisive arguments against it—with the doctrines of specific performance, inducing breach, impossibility, preexisting duty consideration, and nominal 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 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)0.016
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.057
Scholarly communication0.0090.013
Open science0.0030.008
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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 designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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