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Record W2599972076 · doi:10.17118/11143/10223

Comparative law in developing court practice in small jurisdictions : mission possible

2013· article· en· W2599972076 on OpenAlexvenueno aff
Irene Kull

Bibliographic record

VenueRevue de droit Université de Sherbrooke · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsnot available
FundersEesti Teadusfondi
KeywordsLawPolitical science

Abstract

fetched live from OpenAlex

Abstract : The purpose of this article is to discuss the transformative role of comparative law in the development of small nations with short legal histories, compelled to rely on borrowed ideas, concepts and regulations to create their own legal culture and reality. As a small country Estonia does not possess the necessary legal expertise or court practice in many specific areas. Here, comparative law in both of its functions – rules-based and context-based research – provides great help. The article explains how comparative law has been used in the framing of the Estonian system of civil law as well as of specific statutes. In the drafting process, a comparative law method was used to provide drafters with strategic options drawn from an array of legal systems, codes and provisions. The notion of legal transplants is widely used and explained, but in small countries, using transplants may be the only technique for building up a national legal system. The article also focuses on analysing whether the courts may use comparative law as a legal basis for developing private law. The last part of the article is dedicated to the use of comparative law in Estonian court practice, in order to illustrate that there are limits to using comparative law methods. Models of core countries may differ in their suitability because of the differences in ability to successfully absorb legal transplants or because the level of development of the society as a whole does not support the reception of transplants.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.934
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.032
GPT teacher head0.297
Teacher spread0.266 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2013
Admission routes1
Has abstractyes

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Same venueRevue de droit Université de SherbrookeSame topicComparative and International Law StudiesFrench-language works237,207