The Nature of Trust for Independent Management of Property by Entrustment and How to Integrate the Trust System into the Civil Code——from the Categorization Perspective of Property Management Entrustment
Bibliographic record
Abstract
The property management entrustment has indefinitely various types,while in case that the entrusting property has been transferred to the trustee by registration,the property management entrustment can be divided into independent management of property by entrustment and management of property by agency according to whether the trustee is subject to the control of the settlor. As to the former type,the settlor transfers the property to the trustee according to the property registration system with specific purposes and pertinent wishes,and the trustee should be subject to the settlor's wishes in establishing the trust though maybe with some implied wishes. The independent management of property by entrustment is equivalent to the trust system,in which the explicit entrusting purpose is equivalent to express trust while the implied entrusting purpose complies with implied trust. The sufficient practice of trust system in China both in history and at present has proved that the trust system has practical foundation to be merged in the civil law. Besides,the concept of the right in rem can provide theoretical basis,and successful experience can be referred from the Civil Code of Quebec to integrate the trust system into the Civil Code.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.007 | 0.014 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".