Review of Some Aspects of the Russian Legislation on Fiduciary Management of Property and Personal Funds through the Prism of the Law on Trusts in the United States and Canada
Bibliographic record
Abstract
Enactment of new provisions of the Civil Code in the spring of 2022 on personal funds has increased the number of legally recognized instruments for management of property of others available in Russia (personal funds, investment funds of closed type and trust management agreements). This article reviews similarities between these three instruments and trusts formed under applicable laws of the United States and Canada. Such similarities suggest that certain legal mechanisms and approaches to legal issues developed in the United States and Canada should be taken into account for further development of the Russian law on personal funds and implementation of the law in practice. The article analyses certain aspects of the Russian legislation on management of property of others (legal status of each instrument, liability of the managers to the beneficiaries and liability of founders of personal funds for the obligations of such funds) and compares provisions of Russian law with relevant laws of the State of New York and the Province of Quebec.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".