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Record W6965098956 · doi:10.26106/j14s-0m77

Rumuńskie prawo spadkowe między dwoma kodeksami cywilnymi

2020· article· pl· W6965098956 on OpenAlexaboutno aff

Bibliographic record

VenueJagiellonian University Repository (Jagiellonian University) · 2020
Typearticle
Languagepl
FieldBusiness, Management and Accounting
TopicDiverse Legal and Medical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCivil codeRomanianCivil law (Civil law)Code (set theory)Comparative lawPrivate lawCommercial lawHarmonization

Abstract

fetched live from OpenAlex

The study represents a development of a previous paper given at the symposium "The Evolution of the Law of Succession in Central and Eastern Europe" organized by the "The Research Center for the Development of the European Law and the Reform of the Private Law" at the Vienna University Law School on 15-16 May 2008. Meanwhile, on 24 July 2009 Romania adopted a new Civil Code that has not, however, entered into force. The paper discusses the major aspects of the Romanian law of succession in both Codes (the old and the new one), on the background of comparative references to the principles of the French and Austrian civil laws. The comparison with the principles of the French law is justified by the fact that the 1865 Romanian Civil Code (still in force) was strongly influenced by the Code Napoléon, while the comparison with the Austrian Civil Code is justified by the fact that the Austrian Civil Code was before 1918 in force in many regions of Romania, either directly or by way of an imitation named the "Calimach Code". Along with the analysis of all those aspects of the Romanian law of succession, the author discusses whether the new Civil Code, heavily influenced by the Quebec Code, may contribute more than the old Code to the harmonization of the Romanian law of succession with the European Law.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0030.002
Scholarly communication0.0010.004
Open science0.0030.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.004

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 head0.015
GPT teacher head0.144
Teacher spread0.129 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

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