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Record W2278966334

Modernization of Commercial Law: International Uniformity and Economic Development

2009· article· en· W2278966334 on OpenAlexaboutno aff
Boris Kozolchyk

Bibliographic record

VenueBrooklyn journal of international law · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsLawCommercial lawJurisdictionLegal professionInstitutionLegal researchModernization theoryPolitical scienceComparative lawLegal historyCorporate lawBusinessLaw and economicsEconomicsFinanceCorporate governance
DOInot available

Abstract

fetched live from OpenAlex

The universality of certain commercial legal institutions is not the product of chance or of cultural imperialism. Commercial law institutions that are being used uniformly throughout the trading world earn their universality by reflecting best commercial practices. These are the practices that have proven their cost effectiveness and fairness regardless of the marketplace in which they were first used. Commercial legal institutions have also proven to be an indispensable legal tool for significant and lasting economic development. Yet, by institutions I mean not only the concepts, rules and principles of interpretation that inspire the written or positive commercial law of a given country or jurisdiction, but also the attitudes that shape the unwritten or law or the law as it is actually observed or practiced. As it turns out, the living law is, often as not, the one that determines why a legal institution that succeeds in one country or region fails or is less successful in another. This article examines why a key contemporary commercial legal institution, the law of secured lending based on personal property collateral, is likely to succeed in Guatemala and Honduras (as it has in Canada and the United States, among others). It will also show why these laws will not succeed in Mexico and Peru, unless they are re-drafted and their underlying attitudes and practices are changed.

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)0.001
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 score0.976
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.020
GPT teacher head0.293
Teacher spread0.273 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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