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Record W171337766 · doi:10.29173/alr213

Democratic Implications Arising from the Intersection of Investment Arbitration and Human Rights

2009· article· en· W171337766 on OpenAlexvenueno aff
Barnali Choudhury

Bibliographic record

VenueAlberta Law Review · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationExpropriationHuman rightsDemocracyInvestment (military)Transparency (behavior)Open-ended investment companyLaw and economicsLawEconomicsBusinessPolitical scienceReturn on investmentPolitics

Abstract

fetched live from OpenAlex

In the last two decades, investors have taken advantage of investment arbitration mechanisms in investment treaties to challenge state regulations, often implicating human rights issues. This article examines the conflict between states’ human rights obligations and their obligations under investment treaties. The first part of the article examines common obligations arising under investment treaties and the investment arbitration process created by the treaties. In the second part, the author examines the way in which investment treaties and arbitrations impact human rights concerns. In particular, the author reviews a number of human rights, including the right to water, the right to health, and rights related to culture. The author also examines common provisions of investment treaties that are particularly problematic in terms of human rights issues: expropriation and fair and equitable treatment. The author analyzes the democratic deficit inherent in the creation of investment treaties and the structure of investment arbitration, concluding that investment treaties generally lack true democratic consent, and that investment arbitration lacks sufficient transparency and protection for minority rights to reflect true democratic principles. The article concludes with suggestions for reform to address the democratic deficit of investment arbitration through both the provisions of investment treaties and the structure and procedure of arbitration.

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 score0.876
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
Bibliometrics0.0000.000
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 head0.020
GPT teacher head0.258
Teacher spread0.239 · 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

Citations8
Published2009
Admission routes1
Has abstractyes

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