MétaCan
Menu
Back to cohort
Record W3115152292

Moore v Sweet: Four Lessons in Unjust Enrichment from the Supreme Court of Canada

2020· article· en· W3115152292 on OpenAlexaboutno aff
John D. McCamus

Bibliographic record

VenueThe Canadian Bar Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtUnjust enrichmentPlaintiffLawDoctrinePolitical scienceConstructive trustElement (criminal law)StatuteConstructiveRestitutionComputer science
DOInot available

Abstract

fetched live from OpenAlex

The recent decision in Moore v Sweet provided the Supreme Court of Canada with an opportunity to provide valuable guidance concerning the capacity of the unjust enrichment analysis to ground recovery in novel cases. The opportunity was not lost. First, the Court confirmed that resort should be made to the underlying unjust enrichment principle only in circumstances in which there is no existing and applicable restitutionary doctrine or rule. Second, the Court explained how the concept of “corresponding deprivation” may apply in three-party cases where the benefit comes from a source other than the plaintiff.  Third, the application of the “no juristic reason” for the transfer element to transfers required by statute was clarified.  Fourth, the Court provided guidance concerning the availability of the constructive trust remedy.

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)0.000
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: Commentary · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.305
Teacher spread0.225 · 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
GenreCommentary

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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueThe Canadian Bar ReviewSame topicLegal principles and applicationsFrench-language works237,207