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Record W3034314992 · doi:10.54648/eulr2019035

The Standardisation of the Leasing Contract Under Italian Law and the Unidroit Principles

2019· article· en· W3034314992 on OpenAlexaboutno aff
Lorenzo Bertino

Bibliographic record

VenueEuropean Business Law Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsLegislatorRentingLegislatureLawBusinessConventionLaw and economicsCommon lawEconomicsPolitical scienceLegislation

Abstract

fetched live from OpenAlex

Despite its financial nature, for over forty years, Italian case law has classified the financial leasing contract as an atypical contractual form, often qualifying it as a sale or rental agreement. In this respect, various indexes were formulated, such as the amount of the rental fees and the existence of a redemption agreement. In August 2017, the Italian legislator sought to standardise the leasing contract under the law, attempting to define its contractual form and to regulate certain aspects, such as the lessee’s breach and possible consequences deriving from its termination. The comparison between the approach taken by case law prior to the legislative reform and the new regulatory framework shows that the legislator did not transpose the long-established jurisprudential outcomes into the reform. Instead, through comparing the legal reform with the UNIDROIT Principles (The Ottawa Convention and the Model Law), it would appear that the new legal framework closely resembles the solutions adopted therein. Conversely, it is clear that the legal reform does not incorporate the rules adopted by the Draft Common Frame of Reference.

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)0.003
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 score0.997
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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
Published2019
Admission routes1
Has abstractyes

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