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Record W9008290 · doi:10.29173/alr112

Fiduciary Law and the Constructive Trust: Perfecting the Fiduciary Undertaking

2012· article· en· W9008290 on OpenAlexvenueaboutno aff
Ciara Toole

Bibliographic record

VenueAlberta Law Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsFiduciaryDutyObligationConstructive trustLawBusinessLaw and economicsConstructiveAccountabilityCorporationAccountingPolitical scienceSociologyComputer science

Abstract

fetched live from OpenAlex

Two recent unanimous decisions from the Supreme Court of Canada in Galambos v Perez and Alberta v Elder Advocates of Alberta Society have narrowed and refreshed the requirements for recognizing fiduciary relationships and obligations. All fiduciary obligations must be founded by an undertaking, either express or implied, on the part of the fiduciary to act in the best interest of the beneficiary. At the heart of the fiduciary obligation, the undertaking of a fiduciary may also serve as a foundation for the goals of fiduciary accountability. The developing “Galambos approach” remains incomplete in its application in this regard. In the spirit of Galambos and Elder Advocates, I propose that the undertaking of the fiduciary can provide principled guidance in the availability of gain-based relief for breach of fiduciary duty. Particularly, I suggest that the imposition of a constructive trust as proprietary gain-based relief may be rationalized under the objective of perfecting or enforcing the fiduciary undertaking. To demonstrate my proposal, I investigate three example undertakings and breaches of fiduciary duty in which the fiduciary acquires property through the breach of duty. By grounding this overall discussion towards a conceptual remedial goal of enforcing the fiduciary’s undertaking, Galambos may spark the development of a principled approach to understanding both the making and the breach of fiduciary obligations.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.028
GPT teacher head0.323
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

Citations1
Published2012
Admission routes2
Has abstractyes

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