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Record W3125606208

The Role of the Domestic Law of the Host State in Determining the ratione materiae Jurisdiction of Investment Treaty Tribunals: The Partial Revival of the Localisation Theory

2019· article· en· W3125606208 on OpenAlexfundno aff
Reza Eftekhar

Bibliographic record

VenueLeiden Repository (Leiden University) · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
FundersGovernment of Canada
KeywordsTreatyJurisdictionLawArbitrationPrinciple of legalityInvestment (military)International lawPolitical scienceCapital (architecture)Law and economicsEconomics
DOInot available

Abstract

fetched live from OpenAlex

<table><tbody><tr><td><p>This Thesis begins by examining the general role that relevant domestic laws (of the capital-importing and capital-exporting countries) play in the determination of contested jurisdictional and substantive issues in investment treaty arbitrations. Subsequently, in two separate chapters, the Thesis delineates the legal bases for the application and the specific function of the municipal laws of the recipient state in settling two paramount issues of jurisdiction ratione materiae in investment treaty arbitrations, namely the matters concerning the legality of the investment as well as the existence of ‘property rights’ underlying the ‘investment’. Having pinpointed the vast relevance of the internal laws of the host state in deciding upon these jurisdictional thresholds, the Thesis goes on to submit that this extensive role of the host state law in the above-mentioned matters coupled with other circumstances and developments in the international law of investment (in particular, the ever-increasing role of the courts of the host state in the resolution of investment treaty arbitration disputes) tend to partially revive the long-dormant theory of ‘localisation’ which had once been substantially affected in a negative way by the inception and the introduction of bilateral investment treaties.</p></td></tr></tbody></table>

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.788
Threshold uncertainty score0.323

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.005
GPT teacher head0.179
Teacher spread0.174 · 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 designObservational
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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

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