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Record W2633196259 · doi:10.1017/aju.2017.15

The Rise of Sectorally Differentiated Contract Law

2017· article· en· W2633196259 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

VenueAJIL Unbound · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsQueen's University
Fundersnot available
KeywordsRulemakingPaceGlobalizationLawmakingProduct differentiationTreatyPhenomenonBusinessProduct (mathematics)State (computer science)Market economyInternational tradeLawEconomicsPolitical scienceLegislatureGeography

Abstract

fetched live from OpenAlex

This essay identifies an underappreciated side-effect of the increasing influence of industry associations in the development of transnational law. As the law governing commercial contracts harmonizes across territorial boundaries, it will increasingly split along boundaries between industry sectors, a phenomenon I call “sectoral differentiation.” Sectoral differentiation is largely a by-product of the growth of transnational legal orders in an environment where state laws and networks may be unable to keep pace with commercial globalization. Industry associations are not the sole drivers of sectoral differentiation, but their activities often promote it, either directly through rulemaking activities related to their particular industries, or indirectly through influence on treaty drafting and other national and international rulemaking processes.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.990
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
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 head0.036
GPT teacher head0.341
Teacher spread0.305 · 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