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Record W3123041085

The Fusion of Law and Equity: A Canadian Perspective

2011· article· en· W3123041085 on OpenAlexaboutno aff
Leonard I. Rotman

Bibliographic record

VenueKnowledge@SchulichLaw · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsLawEquity (law)JurisdictionSupreme courtPolitical scienceCommon lawFiduciaryCourt of equityConstructive trustConfusionDutySociologyLaw and economicsOriginal jurisdiction
DOInot available

Abstract

fetched live from OpenAlex

Equity, in its broad understanding, has long been a fundamental part of law. Its history may be traced through principles illustrated in the Old Testament and, in various formulations, through Ancient Greek and Roman legal constructs, as well as in Natural Law and Canon Law. While the historic presence of Equity within various systems of law is unquestioned, the jurisdiction of Equity within contemporary legal systems has been a matter of significant debate and confusion. Facilitating a better understanding of the contemporary role of Equity requires knowledge of its meaning and the implications of the historic merger of legal and equitable jurisdictions. This paper establishes a framework for appreciating the contemporary challenges faced by Equity by examining the Supreme Court of Canada’s analysis of the merger of legal and equitable jurisdictions in two major cases involving allegations of breaches of fiduciary duty: Canson Enterprises Ltd. v. Boughton & Co. and Hodgkinson v. Simms. The inconsistent application of equitable principles in these cases demonstrates the court’s confusion over the effects of the historic merger of law and Equity and offers a valuable perspective for the administration of justice in contemporary law.

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)0.004
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.335
Threshold uncertainty score0.772

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0100.010
Science and technology studies0.0370.042
Scholarly communication0.0200.010
Open science0.0040.006
Research integrity0.0080.009
Insufficient payload (model declined to judge)0.0120.001

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 head0.073
GPT teacher head0.359
Teacher spread0.286 · 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
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
Published2011
Admission routes1
Has abstractyes

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