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Record W1608848418

Goodyear and Nicastro: Observations from a Transnational and Comparative Perspective

2012· article· en· W1608848418 on OpenAlexaboutno aff
Linda Silberman

Bibliographic record

VenueScholar Commons (University of South Carolina) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsnot available
Fundersnot available
KeywordsJurisdictionSupreme courtLawPolitical scienceConstitutionState (computer science)Perspective (graphical)European unionClubInternational tradeBusiness
DOInot available

Abstract

fetched live from OpenAlex

This article views the recent U.S. Supreme Court jurisdictional cases, Goodyear Dunlop Tires Operations, S.A. v. Brown and J. McIntyre Machinery, Ltd v. Nicastro, from both a transnational and comparative perspective. As transnational cases, Goodyear and Nicastro raise the question whether the Due Process Clause of the Constitution should be interpreted to impose different standards for domestic and foreign defendants. Professor Silberman argues that a national contacts approach is appropriate for specific jurisdiction but not general jurisdiction. She also examines various proposals for reaching foreign defendants who market in the United States but do not have sufficient connections with a single state. Professor Silberman examines how courts in Canada have dealt with transnational cases, noting a very recent decision of the Canadian Supreme Court, Club Resorts v. Charron, released just as the article was going to print and may have changed the Canadian approach to jurisdiction. Professor Silberman also offers a comparative look at the jurisdictional regime in the European Union, along with the recent European Recast proposal, as a means to evaluate the U.S. approach to both general and specific jurisdiction in transnational cases.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.662

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 studies0.0010.000
Scholarly communication0.0000.001
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 head0.078
GPT teacher head0.282
Teacher spread0.203 · 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 designObservational
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

Citations15
Published2012
Admission routes1
Has abstractyes

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