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Record W7135866723

Testamentary trust fund

2025· dissertation· cs· W7135866723 on OpenAlexaboutno aff
David Šourek

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2025
Typedissertation
Languagecs
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsTestamentary trustTrust lawExpress trustSettlorCzechBlind trustProperty (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

Testamentary trust fund Abstract Trust funds, and testamentary trust funds in particular, represent an innovative legal concept in Czech law based on the Quebec model of fiducie. As a form of patrimony by appropriation, testamentary trust funds enable flexible mortis causa property dispositions and potentially offer diverse opportunities for tailored solutions in intergenerational transfer of property compared to traditional inheritance law instruments. The thesis provides a critical analysis of the legal framework of testamentary trust funds, outlines current views in Czech legal theory and identifies the problematic aspects associated with the creation, establishment and operation of the testamentary trust funds, as well as with their termination. Within the thesis, the author offers de lege ferenda propositions using an analytical and descriptive approach. In the first part of the thesis, the author focuses on the foreign sources of the Czech trust fund, particularly on the Quebec fiducie, whose legal framework is a direct precursor for the Czech trust fund, but also on the Anglo-American trust, which in turn inspired Quebec legislation. He then goes on to define the basic characteristics of the trust fund. This part of the thesis serves as a general introduction to trust funds and explains the concept...

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.155
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0080.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.018
GPT teacher head0.297
Teacher spread0.279 · 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
Published2025
Admission routes1
Has abstractyes

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