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Record W4229616329 · doi:10.3138/utlj.60.2.197

THE FRENCH RESPONSE TO THE WORLD BANK'S <i>DOING BUSINESS</i> REPORTS

2010· article· en· W4229616329 on OpenAlexaffvenue
Catherine Valcke

Bibliographic record

VenueUniversity of Toronto Law Journal · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCivil law (Civil law)LawPerspective (graphical)Political scienceResistance (ecology)Comparative lawLegal realismSociocultural evolutionEmpirical legal studiesSociologyCommercial law

Abstract

fetched live from OpenAlex

In its 2004 and 2006 Doing Business reports, the World Bank endorsed the conclusions advanced in the ‘legal origins’ literature, according to which legal systems belonging to the common law tradition better foster economic performance than systems belonging to the civil law tradition, and systems within the French family fare the worst among civil law systems. This article comments on the response offered to those reports by a group of French legal academics. The author suggests that this response would be more effective if it treated as separate issues (1) the traditional resistance of French jurists to the economic analysis of law (eal), (2) the efficiency of the French legal system, and (3) the merits of analysing French law from an eal perspective. With respect to the first issue, the author argues that the reasons behind the French jurists' traditional resistance to eal are largely sociocultural and, accordingly, can be expected to bear directly on French jurists, and French legal thought more generally, but only minimally on the economic pedigree of the French legal system. With respect to the second issue, questions are raised as to the possibility of reliably assessing the relative efficiency of entire legal systems, whether the French or any other. With respect to the third issue, the author notes that the objections raised against economic assessments of entire legal systems do not apply to the more traditional form of eal, which accordingly remains as valuable a tool for analysing French law as it is for analysing any other body of 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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.016
metaresearch head score (Gemma)0.041
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.364
Threshold uncertainty score0.724

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.041
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0100.006
Scholarly communication0.0170.004
Open science0.0020.003
Research integrity0.0230.012
Insufficient payload (model declined to judge)0.0070.002

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 head0.009
GPT teacher head0.178
Teacher spread0.169 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations3
Published2010
Admission routes2
Has abstractyes

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Same venueUniversity of Toronto Law JournalSame topicLaw, Economics, and Judicial SystemsFrench-language works237,207