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Record W2601756264

Foreign precedents in constitutional litigation. The Italian Constitutional Court and Comparative Law: A Tale of Two Courts

2014· article· en· W2601756264 on OpenAlexaboutno aff
Maurizia De Bellis

Bibliographic record

VenueCineca Institutional Research Information System (Tor Vergata University) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Law Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLawPolitical scienceCommon lawComparative lawConstitutional courtConstitutionArgument (complex analysis)Civil law (Civil law)Constitutional lawNothingPublic law
DOInot available

Abstract

fetched live from OpenAlex

Reference to foreign precedents by Constitutional Courts varies steadily across countries. Countries can be divided into two broad groups, a divide following closely the common/civil law divide. While in countries such as Australia, Canada, Ireland, Israel and South Africa, the use of foreign law is widespread, in the second group (comprising Austria, Germany, Hungary, Russia, as well Belgium, France and Spain), such use is much more rare. The few studies conducted about the Italian Constitutional Court suggest it falls without any doubt in the second group. But where exactly in the spectrum of possible types of «use» of comparative law?The empirical research conducted in this survey suggests that the «much ado about nothing» approach adopted in the past to frame the use of foreign law by the Italian Constitutional Court must be questioned. On the one hand, the “explicit” reference to foreign law, albeit being still rare, has improved from a “quality” point of view: the most recent judgments referring to foreign law are often based on a broader legal reasoning than in the past and refer to some of the most relevant issues brought in front of the Court. On the other hand, there is a «second tale» - the one of the «hidden» influence of foreign law on the Italian Constitution - which has not been told yet. This survey tries to open this field of research, examining two sets of data from which one can infer such «underlying» influence: the cases in which foreign law is quoted by the parties, as an argument to persuade the Court, and the cases for which a specific Comparative Law Department established within the Court prepared comparative law dossiers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.009
Scholarly communication0.0000.002
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 head0.093
GPT teacher head0.337
Teacher spread0.245 · 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 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

Citations0
Published2014
Admission routes1
Has abstractyes

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