Bibliographic record
Abstract
Legal Status of the Settlor of a Trust Abstract The thesis focuses on the legal regulation of the settlor of a trust within the Czech legal system. The settlor sets aside part of his property and entrusts the trustee with the property. The set-aside property constitutes a separate and independent ownership. Its administration is governed by law and rules defined by the settlor. The aim of the thesis is to analyse the legal status of the settlor and to identify possible difficulties arising from the legal regulation. The first two chapters of the thesis contain a definition of the Czech trust and a brief overview of the process of its incorporation into the Czech legal system. The legal regulation of trusts under Czech law was inspired by the legal regulation of the trust of the Canadian province of Quebec. The third chapter covers the purpose of a trust. The settlor sets aside property into the trust for a private or publicly beneficial purpose. The administration of the assets must always be in accordance with the purpose of the trust. The fourth chapter focuses on the process of creating a trust. It deals with the difference between creating a trust during the settlor's lifetime and creating it through a disposition mortis causa. The subject of the fifth chapter is a definition of the trust's by-laws and...
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.021 |
| Scholarly communication | 0.016 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".