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Record W2968482847

International investment agreements and mega-regionals: promoting or undermining the right to water?

2019· book-chapter· en· W2968482847 on OpenAlexaboutno aff
Rodrigo Polanco, Azernoosh Bazrafkan

Bibliographic record

VenueBern Open Repository and Information System (University of Bern) · 2019
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsInvestment (military)TribunalInternational tradeInternational investmentBusinessForeign direct investmentState (computer science)RespondentInternational economicsLawEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

This chapter examines how investment law interacts with the human right to safe drinking water and sanitation in IIAs, comprising both bilateral investment treaties (BITs) as well as preferential trade agreements (PTAs) with investment provisions. This analysis includes recently negotiated mega- regional agreements such as the Comprehensive Trade and Economic Agreement between Canada and the European Union (CETA) and the Comprehensive and Progressive Agreement for Trans- Pacifi c Partnership (CPTPP). The first section studies in what way, if any, investment protection standards as included in IIAs affect the right to water. The second part examines whether foreign investor’s legitimate expectations are affected by a host state’s measure to regulate the supply and maintenance of water on public policy objectives, including by implementing specific human rights obligations. The final section considers whether the human right to water can be used as a defence in investor-State dispute settlement (ISDS) by the respondent state. Special attention will be paid to the recent award by an arbitral tribunal under the rules of the International Centre for the Settlement of Disputes (ICSID), namely the Urbaser v Argentina.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.992
Threshold uncertainty score0.607

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 communication0.0010.004
Open science0.0010.001
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 head0.198
Teacher spread0.178 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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