Trust Regulation in the Czech Republic: the Model Law for Introduction of the Trust Instrument in the Republic of Latvia?
Bibliographic record
Abstract
In the last decades, thanks to the process of globalization, there is the diversification of forms and kinds of the economic relations. Therefore the trust instrument is used more and more in the countries where before it was practically unknown legal instrument. The author has defended dissertation paper “The Essence of Trusts, its Recognition and Legal Regulation in the Roman – German Law System Countries and Possible Introduction in Latvia” on September 12, 2008. In this dissertation paper it was advised to introduce trust instrument in the Republic of Latvia I order to improve the existing regulation in Latvia; draft law on trusts was prepared. The Czech Republic had introduced trust instrument from January 1 2014. This article will be devoted to the comparative analysis of the Czech regulation on trusts; therefore it is a very important both from academic and practical point of view. Till now there are a few researches on this theme. The survey and comparative analysis are the main methods used in the present article. Based on the comparative analysis it is recommended to use regulation of the Czech Republic and Province of Quebec in order to draft similar legislation in the Republic of Latvia. The present research is a very topical for the academics, Members of the Saeima (Latvian Parliament), practitioners in the financial and legal field. This is unique research on comparative basis, using Civil Code of the Czech Republic and Province of Quebec, the Principles of European Trust Law , the Hague Convention on the Law Applicable to Trusts and on their Recognition and existing regulation and prepared draft legislation on trusts of the Republic of Latvia.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".