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Why Legal Transplants?

2019· article· en· W2948008227 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnnual Review of Law and Social Science · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicComparative and International Law Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsLawmakingEmpirical legal studiesLegal realismLawLegal researchComparative lawCorporate governancePolitical scienceLegal professionSociologyLegal pluralismLaw and economicsEconomicsLegislature

Abstract

fetched live from OpenAlex

In examining how laws and legal institutions move across jurisdictions, comparative law scholars have employed the metaphor of a legal transplant to conceptualize both the hazards and benefits of taking in another legal system's rules. As law and society scholars become increasingly interested in the international domain, they will naturally seek out disciplines that have grappled with issues of law and culture, diffusion of governance structures, and the social processes involved in transnational lawmaking. We can thus learn a great deal from the rich literature on legal transplants. However, we should also be wary of its anemic examination of relations of power and strive to employ empirical methods to measure the social forces and factors involved. This article gives an historical overview of the key developments and debates within the legal transplant literature and suggests new directions for further research intended for a sociology of the movement 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.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.469

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 studies0.0010.001
Scholarly communication0.0000.000
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 head0.027
GPT teacher head0.370
Teacher spread0.343 · 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