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Record W4403154934 · doi:10.59295/sum3(173)2024_09

The ways of creating a trust

2024· article· en· W4403154934 on OpenAlexaboutno aff
Irina Digori

Bibliographic record

VenueStudia Universitatis Moldaviae Seria Stiinte Sociale · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySociologyEpistemologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This article explores the ways of creating a trust, according to Article 2074 of the Civil Code of the Republic of Moldova. To shed light on the legislative inspiration and the distinct characteristics of various methods of establishment, a comparative analysis is conducted concerning the provisions outlined in Book X (Trusts) of the Draft Common Frame of Reference, as well as the Civil Codes of the Province of Quebec, France, Romania, and the Republic of Moldova. The discussion emphasizes the ways for voluntarily creating a trust, namely by contract, unilateral declaration, and will, all of which are comprehensively regulated. Additionally, the article addresses the mechanism of creating a trust through administrative act or court decision, situations that necessitate explicit legislative regulation before implementation. The paper also delves into the relationship between ‘law’ and ‘administrative act’ as sources of trusts, presenting a hypothesis that the legislator intentionally substituted this term in the legislation of the Republic of Moldova.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.030
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.030
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0300.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0180.079
Scholarly communication0.0230.028
Open science0.0020.021
Research integrity0.0070.007
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.030
GPT teacher head0.295
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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