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Record W4404547106 · doi:10.54183/jssr.v4i4.422

Investment Law and the Right to Regulate Public Health and Environmental Protection

2024· article· en· W4404547106 on OpenAlexaboutno aff
Taabeer, Fayaz Ali, Anum Shahid

Bibliographic record

Venuejournal of social sciences review · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessInvestment (military)Environmental lawLawPolitical science

Abstract

fetched live from OpenAlex

This article explores the tension between investment law protections and a state’s right to regulate public health and environmental protection. International investment agreements (IIAs) provide strong protections for foreign investors, often limiting host states’ regulatory freedoms. This dynamic can create challenges when states seek to implement policies for public welfare that may impact foreign investments. The study examines case law, such as Philip Morris v. Uruguay and Vattenfall v. Germany, to highlight conflicts between investor rights and regulatory measures. Through a review of recent treaties, including the Comprehensive Economic and Trade Agreement (CETA) and the United States-Mexico-Canada Agreement (USMCA), the article identifies emerging mechanisms like explicit right-to-regulate clauses, carve-outs, and interpretive guidelines designed to balance investment protection with the public interest. The results indicate that some protections are provided by new treaty provisions, but interpretive flexibility and a lack of automaticity in procedural aspects of arbitration can create as-yet unresolved challenges. It recommends that investment law reforms go further and focus on placing the public interest at the heart of investment law, establishing an architecture supportive of sustainable development, and enabling states to respond to pressing health and environmental problems without running the risk of investor claims.

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)0.002
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: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.980
Threshold uncertainty score0.414

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.039
GPT teacher head0.282
Teacher spread0.243 · 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
GenreCommentary

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
Published2024
Admission routes1
Has abstractyes

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