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Record W4312640179 · doi:10.46692/9781529219456.024

Investor–State Dispute Settlement: Business as Usual or Moratorium?

2022· other· en· W4312640179 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)State (computer science)Investor-state dispute settlementBusinessLaw and economicsLawPolitical scienceEconomicsComputer scienceFinanceInternational investmentForeign direct investmentAlgorithm

Abstract

fetched live from OpenAlex

Mechanisms for the settlement of disputes between foreign investors and national governments are among the most controversially discussed topics of contemporary investment and trade agreements. Opposition to the latter often is primarily based on ‘investor–state dispute settlement’ (ISDS) issues. During the coronavirus pandemic, hundreds of non-governmental organizations (NGOs) have asked for a moratorium on ISDS operations (S2B Network, 2020), so far in vain. Instead, informed observers expect a major wave of new ISDS claims triggered by the crisis. Why does the pandemic raise additional concerns about ISDS? Can we continue with this practice or do we need a moratorium? Political Economy and ISDS mechanisms ISDS mechanisms have emerged since the 1950s, triggered by the increasing amount of international investments. Before their emergence, foreign investors had to rely on two unattractive options when they considered themselves to be treated in an unfair way by host-country governments. One option is to make use of the court system in the host country, but the latter often was considered to be biased in favour of its national government. The alternative option for companies is to appeal to their home-country government to take up the issue with the host-country government, but these diplomatic channels were also of limited usefulness, given that investment concerns often ranged among low priorities if weighed against other foreign policy issues. The establishment of independent dispute settlement mechanisms originally was targeted against newly independent governments of the Global South after decolonization that threatened Northern companies with expropriation; for example, in natural resource extraction sectors. From the millennium onwards, however, ISDS cases have become an increasingly salient issue between multinational corporations and governments in the Global North. In part, this was because of the movement towards remunicipalization of local services, such as energy and water supply, that previously had been privatized, also to the favour of foreign multinationals. In part, this was triggered by environmental or health policy reversals, such as the German ‘ Energiewende ’ that demanded a shutdown of nuclear reactors, again partially owned by foreign companies such as the Swedish Vattenfall. Correspondingly, concerns over ISDS have become a central issue in major trade negotiations, contributing substantively to the failure of the Trans-Atlantic Trade and Investment Partnership (TTIP) and the crisis about the ratification of the Comprehensive Economic and Trade Agreement (CETA) between Canada and the EU.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.057
metaresearch head score (Gemma)0.108
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.057
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0570.108
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0070.032
Scholarly communication0.0310.034
Open science0.0050.012
Research integrity0.0200.017
Insufficient payload (model declined to judge)0.0190.004

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 head0.018
GPT teacher head0.238
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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