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Record W4411931957 · doi:10.61243/calamo.23.457

Law and Economics

2025· article· en· W4411931957 on OpenAlexaff
Ejan Mackaay

Bibliographic record

VenueRevista Cálamo · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsEconomicsLaw and economicsNeoclassical economicsPositive economicsPolitical scienceMathematical economics

Abstract

fetched live from OpenAlex

This article examines two questions that may hinder the development of law and economics scholarship in civil law jurisdictions. The first concerns whether law and economics provides insights to civil law scholarship that are as compelling as those observed in common law countries. I will argue in the affirmative. The second question explores whether legal scholarship can contribute to economics. This inquiry is grounded in recent research addressing the puzzle of the critical factors behind the unprecedented economic growth first observed in north-western Europe and subsequently exported to other regions of the world. If the pivotal factor is a shift in ideas and values that underpin individual liberty and dignity, thereby fostering radical innovation, then legal institutions play a crucial role in framing and supporting such transformative changes.

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)0.004
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.020
Scholarly communication0.0090.007
Open science0.0010.003
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0160.003

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 head0.019
GPT teacher head0.211
Teacher spread0.192 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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