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The Principles of Equity & Trusts

2023· book· en· W4386335375 on OpenAlexaboutno aff
Graham Virgo

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsConstructive trustFiduciaryEquity (law)Trust lawDoctrineLawSettlorPolitical scienceCommon lawUnjust enrichmentContext (archaeology)DutyExpress trustTestamentary trustLaw and economicsSociologyHistoryRestitution

Abstract

fetched live from OpenAlex

The Principles of Equity & Trusts offers a distinctive approach to this dynamic area of law. This book examines the law of Equity and Trusts in its contemporary context, offering a critical and insightful commentary on the law, its application, and future development. The text communicates both Equity and trust doctrine and theory and reflects the modern understanding of the subject, as propounded both by the judiciary and commentators in England and other Common Law jurisdictions, notably Australia, Canada, New Zealand, and Singapore. The book consists of eight parts. Part I considers the history and contemporary relevance of Equity. Part II is about the express trust. Part III considers purpose trusts. Part IV then examines resulting and constructive trusts. Part V is about beneficiaries. Part VI examines trustees’ powers and duties. Part VII examines variations of trusts. Part VIII is about breach of trust and fiduciary duty and the personal and proprietary remedies available for such breach.

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.018
Scholarly communication0.0100.008
Open science0.0010.004
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.004

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 head0.105
GPT teacher head0.318
Teacher spread0.212 · 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 designNot applicable
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

Citations9
Published2023
Admission routes1
Has abstractyes

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