Bibliographic record
Abstract
1 Trust as a tool for intergenerational asset transfer Abstract This thesis examines trusts, and in particular trusts established for private purpose, as a still relatively new potential tool for intergenerational asset transfer. It is apparent that the general public are increasingly concerned with the matter of how their assets will be dealt with after their death and are aware of some of the difficulties of inheritance proceedings. Ten years after the Civil Code came into force, the trusts have found their place in practice, but given the specific and unique nature of the concept, there are still a number of unresolved questions that have not yet been answered by legislation or case law. In addition to the current legal regulation in the Civil Code, the subject of examination is not only the historical predecessors of trusts, but also contemporary similar legal institutes in other countries, in particular the Quebec fiduciary law, which the Czech legislator based on and adopted in content. The author also deals with what is probably the most controversial aspect of the legal regulation of trusts among lawyers, namely the issue of changing the statute, inclining towards the stricter view according to which a change of the statute other than the one made by the court is not allowed. Furthermore, the focus...
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
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".