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Record W3133473121 · doi:10.60082/2817-5069.3592

Integrating Sustainable Development in International Investment Law, by Manjiao Chi

2021· article· en· W3133473121 on OpenAlexvenueno aff
Haniehalsadat Aboutorabifard

Bibliographic record

VenueOsgoode Hall law journal · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable developmentInternational investmentInvestment (military)Foreign direct investmentDemocracyEnvironmental lawEconomicsEconomic systemNorm (philosophy)BusinessPolitical scienceEconomic growthLawPolitics

Abstract

fetched live from OpenAlex

The idea of sustainable development has a long history and is comparable to that of democracy, freedom, and justice.3 In the twenty-first century, sustainable development is an unavoidable paradigm underpinning all human actions from local to global levels, in both the public and private sectors. Sustainable development is high on the global governance agenda and needs to be followed by making a balance between the competing priorities of economic growth, environmental protection, and social progress.4 Sustainable development, on the one hand, is closely dependent on transnational investment activities to promote economic growth, especially in developing countries. On the other hand, it requires foreign investors to consider socio-environmental issues associated with their investment activities. Despite the universal importance of the role of transnational investment activities in sustainable development, whether and to what extent international investment law could amount to a legal norm that protects socio-environmental values while encouraging economic growth is not a settled issue.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.013
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.004
Scholarly communication0.0040.005
Open science0.0010.002
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0030.000

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 head0.011
GPT teacher head0.219
Teacher spread0.208 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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