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Record W2032914253 · doi:10.1093/tandt/ttm100

A need for greater understanding of civil law entities by common law jurisdictions

2007· article· en· W2032914253 on OpenAlexaboutno aff
Mary Jane Michaels, M. Yates

Bibliographic record

VenueTrusts & Trustees · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsLawCommon lawCivil law (Civil law)Political scienceConventionParliamentTrust lawRatificationStatutory lawMunicipal lawPublic lawPolitics

Abstract

fetched live from OpenAlex

In the course of the last six months, the ratification by the Swiss parliament of The Hague Convention of 1 July 1985 on the Law Applicable to Trusts and on their Recognition has generated much attention. There has also been much discussion regarding the fact that, while the Convention was ratified, nowhere near as much progress has been made with respect to the administration of trusts from Switzerland, be it for Swiss families or families around the world. These comments typically come from advisers, lawyers and banks, primarily, although not limited to, the trust business outside of Switzerland. That being said, in most common law countries knowledge of the civil law equivalents of trusts, particularly, the ‘Stiftung’, the ‘Anstalt’ and the trust reg., is dramatically lacking. Instead of common law jurisdictions focusing on how trusts may be used within Switzerland and in other civil law jurisdictions, we would encourage common law jurisdictions, particularly Canada, the United States, the United Kingdom, Australia and New Zealand to focus much more on their understanding and recognition of the traditional civil law wealth management vehicles. It is, for instance, quite surprising that the US tax treatment of a ‘Stiftung’ is, at best, unclear, due in large part to the fact that ‘Stiftungen’ are not properly understood.

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)0.067
metaresearch head score (Gemma)0.073
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: none
Teacher disagreement score0.067
Threshold uncertainty score0.355

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0670.073
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0100.008
Science and technology studies0.0090.123
Scholarly communication0.0320.162
Open science0.0100.015
Research integrity0.0230.058
Insufficient payload (model declined to judge)0.0100.002

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 head0.046
GPT teacher head0.317
Teacher spread0.272 · 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
Published2007
Admission routes1
Has abstractyes

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