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Record W2157653217 · doi:10.1017/s0008197303006457

Interceptive Subtraction, Unjust Enrichment and Wrongs—A Reply to Professor Birks

2003· article· en· W2157653217 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Cambridge Law Journal · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsWestern University
Fundersnot available
KeywordsUnjust enrichmentPlaintiffRestitutionLawWrongdoingObligationPolitical scienceLaw and economicsSociology

Abstract

fetched live from OpenAlex

An Introduction to the Law of Restitution was a landmark in private law. More clearly than any preceding work, it unpacked the ambiguity inherent in the notion of “the claimant's expense by delineating two forms of “unjust enrichment. (1) The autonomous action in unjust enrichment involves a subtractive expense . The defendant acquires a benefit from the claimant in circumstances that the law regards as reversible. The response is always restitution . The defendant must give the enrichment, or its value, back to the claimant. (2) Unjust enrichment by wrongdoing, in contrast, is concerned with a normative or wrongful expense . The defendant acquires a benefit, usually from a third party, as a result of breaching an obligation owed to the claimant ( e.g. trespass to land). Although the standard response to a civil wrong is compensation for the claimant's loss, a court exceptionally may compel the defendant to give up, or disgorge, his ill-gotten gain.

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.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.999

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 studies0.0020.000
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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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