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Record W1532004705 · doi:10.54648/joia2014003

The Protection of Investors Legitimate Expectations and the Fair and Equitable Treatment Standard under NAFTA Article

2014· article· en· W1532004705 on OpenAlexaff
Patrick Dumberry

Bibliographic record

VenueJournal of International Arbitration · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsInvestor protectionInternational economicsBusinessEconomicsLaw and economicsInternational tradeFinance

Abstract

fetched live from OpenAlex

For the majority of NAFTA tribunals, the host state's failure to respect an investor's legitimate expectations does not constitute a breach of the fair and equitable treatment standard under Article 1105, but is rather a 'factor' to be taken into account when assessing whether or not other well-established elements of the standard have been breached. Tribunals have also repeatedly narrowly qualified the concept of legitimate expectations by requiring, for instance, that the investor's expectations be based on specific commitments made by the host state to have purposely induced its investment and denying that such expectations can be solely based on the host state's existing domestic legislation at the time of the investment.

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)0.027
metaresearch head score (Gemma)0.046
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: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.142

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0270.046
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.016
Scholarly communication0.0150.007
Open science0.0030.005
Research integrity0.0240.016
Insufficient payload (model declined to judge)0.0030.001

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 head0.015
GPT teacher head0.235
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
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

Citations15
Published2014
Admission routes1
Has abstractyes

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