"Svěřenský fond" - institute of intergenerational wealth preservation and succession
Bibliographic record
Abstract
"Svěřenský fond" - institute of intergenerational wealth preservation and succession Abstract Thesis named "Svěřenský fond - institute of intergenerational wealth preservation and succession" is dedicated to describe institution of "svěřenský fond" from the perspective of a potential alternative or addition to a more traditional institutions of inheritance law. The aim of the thesis is to describe primarily its use to a purpose of family wealth preservation and succession. In order to fulfill this goal, the first part of the thesis analyses how fiducie/trust of Quebec made its way into Czech legislation. Main matter being the consequences adoption of a patrimony by appropriation caused. Second part follows historical roots of fiduciary institutes. It finds a persistent need for very similar fiduciary, trust-like institutes throughout history. The goal stays the same, a desire of families to preserve their wealth. Historical analysis, using an evolutionist paradigm, finds similarities between trust, modern fiduciary institutes and "svěřenský fond" which simply cannot be unseen. Based on this findings a hypothesis of a common ancestor is construed. Third part describes a newly acquired construction of trust-like institute, which was unseen in Czech law until 2014. It focuses on a result of transplantation of...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".