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Record W3208393888 · doi:10.3138/utlj-2021-0062

Private liability without wrongdoing

2022· article· en· W3208393888 on OpenAlexvenueno aff
Rebecca Stone

Bibliographic record

VenueUniversity of Toronto Law Journal · 2022
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsWrongdoingPlaintiffLawLiabilityInjusticeDutyLegal liabilityStrict liabilityPrivate lawPermissionPolitical scienceLaw and economicsBusinessSociologyPublic law

Abstract

fetched live from OpenAlex

Rights-based theories of private law tend to be wrongs based and defendant focused. But many private law wrongs do not seem like genuine wrongs, at least when the background distribution of resources is unjust. A very poor person, for example, may be held legally liable for breaching a one-sided contract with a very rich person. When such a contract reflects and reproduces existing injustice, it is hard to view the poor person’s breach of such a contract as a genuine wrong against the rich person. Conversely, some obvious moral wrongs do not generate legal liability. There is, for example, no private law duty of rescue in the absence of a prior relationship in many situations in which most would agree that there is a moral duty of rescue. Thus, private legal liability seems not to track moral wrongdoing in significant respects, raising the question what instead justifies such liability. Instead of justifying private liability in terms of the defendant’s wrongdoing, as corrective justice and civil recourse theorists do, we should seek a justification in terms of the plaintiff’s moral permission to enforce her apparent rights. Switching our gaze from the defendant’s wrongdoing to the plaintiff’s moral permission to enforce her rights will not be normatively consequential if the plaintiff’s moral permission arises when and only when the defendant has wronged her. But, I argue, background injustice can drive a wedge between genuine wrongdoing and the plaintiff’s moral permission. Thus, by reconceptualizing private liability in terms of a plaintiff’s moral permission to enforce her apparent rights, private law may be justified by the essential role it plays in constituting non-ideal political morality.

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)0.010
metaresearch head score (Gemma)0.024
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 score0.013
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.022
Scholarly communication0.0060.011
Open science0.0020.008
Research integrity0.0130.010
Insufficient payload (model declined to judge)0.0130.003

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 head0.016
GPT teacher head0.208
Teacher spread0.192 · 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

Citations10
Published2022
Admission routes1
Has abstractyes

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