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Record W1557311447

Judicial Politics and International Investment Arbitration: Seeking an Explanation for Conflicting Outcomes

2009· article· en· W1557311447 on OpenAlexaff
David Schneiderman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTribunalArbitrationTreatyPolitical sciencePoliticsInternational arbitrationContext (archaeology)Investment (military)Economic JusticeLawLaw and economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

In taking on the controversial debate over the role of state attorneys general in antitrust enforcement, the article draws upon recent legal and historical scholarship on federalism to argue that globalization requires a paradigm change in concepts of U.S. federalism. While many assume that increasing international economic integration makes state participation in economic regulation with international implications inherently problematic, the article demonstrates that, to the contrary, states have an important role to play in the regulation of international business. States have a long history of challenging the federal government in a way that has promoted a robust national dialogue on matters of public policy. In addition, states have historically played and should continue to play a vital role in safeguarding the health, safety, and welfare of the American public. Historical research reveals that the view of state governments as protectors of the public interest formed an important part of the Founders' vision. Globalization may suggest that states are not capable of carrying out this function independently of the federal government. But the fact that today's "local" threats to state residents now often spring from international sources does not suggest that states should renounce their traditional role as guardians of the public welfare. Indeed, it makes that role all the more important.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.475

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 studies0.0000.000
Scholarly communication0.0000.002
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 head0.039
GPT teacher head0.299
Teacher spread0.260 · 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 designTheoretical or conceptual
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

Citations25
Published2009
Admission routes1
Has abstractyes

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