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Record W4328096141 · doi:10.1111/1758-5899.13199

Public health clauses in international investment agreements: Sword or shield?

2023· article· en· W4328096141 on OpenAlexafffund
Anne Marie Thow, Wolfgang Alschner, Faisal Aljunied

Bibliographic record

VenueGlobal Policy · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Ottawa
FundersNational Health and Medical Research CouncilSocial Sciences and Humanities Research Council of CanadaMedical Research CouncilAustralian GovernmentWorld Health Organization
KeywordsSWORDOffensivePublic healthInvestment (military)BusinessAmbivalenceForeign direct investmentInternational healthWork (physics)Health policyPolitical scienceEconomicsLawMedicinePoliticsPsychology

Abstract

fetched live from OpenAlex

Abstract The interaction of international investment agreements and public health is marked by ambivalence. Investment treaties can help attract investment into the health sector but also enable international legal claims by foreign investors against public health measures. This paper seeks to better understand their relationship by systematically mapping the purpose of health inclusions in bilateral investment treaties (BITs) between 1959 and 2021. We find that health‐related clauses, present in 18% of all BITs, are used both as a shield and a sword. Most health mentions protect host countries from claims against public health measures, yet an increasing number of recent BITs, primarily from developing countries, also pursue an offensive public health agenda by advancing health safety at work and health‐related corporate social responsibility of investors.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.870
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.100
GPT teacher head0.331
Teacher spread0.231 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations7
Published2023
Admission routes2
Has abstractyes

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