Bibliographic record
Abstract
Summary: I chose the topic of my master's thesis considering the recency of the subject according to the recodification of private law. Legal institute of trust has been in Czech lands since 19th century and nowadays it experiences it's controversial return. Although the recent legal form of trust is defended by authors of the new Civil Code, experts criticise it roughly and there are ongoing negotiations about abrogation of the legal institute or about its amendment. This thesis is composed of ten thematic chapters. After the introduction I explain the origin of the legal institute of trust in Roman law, specifically in the form of fideikomis and its development. As the legal form results from The Civil Code of Québec highly influenced by the legal institute of trust, I focus on the legal institute of trust in common-law countries in the third chapter. I also dedicate one chapter to The Civil Code of Québec, as it was the main source of inspiration for Czech legislators. For a period of absence of the legal regulation of the trust in Czech law, according to the Hague Convention it was possible to create foreign trusts on the territory of the Czech Republic. For that reason I discuss the legal regulation of trusts abroad in chapter five. Sixth and seventh chapter is dedicated to the regulation of trust in...
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.254 | 0.119 |
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".