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Record W4318303052 · doi:10.15294/jllr.v4i1.60464

Balance between Investment Protection and Sustainable Development under Tanzania-Canada BITs: Need for Progressive Domestic Investment Law

2023· article· en· W4318303052 on OpenAlexaboutno aff
Naufal Hamis Kitonka

Bibliographic record

VenueJournal of Law and Legal Reform · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsSustainable developmentInvestment (military)TanzaniaForeign direct investmentOrder (exchange)Government (linguistics)EconomicsBalance (ability)BusinessLawFinancePolitical sciencePoliticsSocioeconomics

Abstract

fetched live from OpenAlex

Interactions between foreign investment and host community raise questions as to the proper approach to balance investment protection and sustainable development interests. This article examines how Tanzania balances investment protection with social and environmental concerns. Tanzania has had a mixed practice with foreign investment and Bits. Few Bits were concluded in the early years after independence. But then the country experimented with socialism and self-reliance in late 1960’s and 1970’s, only to reverse trend in mid-1980’s. Tanzania concluded majority of her Bits in 1990s and 2000’s. From 2010, Tanzania concluded Bits which are conscious of sustainable development concerns. Tanzania-Canada BIT is a case in point. These Bits not only inserted explicit sustainable development provisions but also progressive investment standard provisions which afford the government space to regulate legitimate sustainable development objectives. However, this recalibration approach still faces practical challenges due inconsistencies of arbitral tribunals. To help fill this gap, the study considers the role of domestic investment laws in protecting sustainable development interests. In that regard, the study holds the view that domestic investment laws have to be sustainable development oriented in order to supplement other approaches of balancing investor rights with sustainable development interests of host states.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.959
Threshold uncertainty score0.988

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 communication0.0000.001
Open science0.0000.000
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 head0.019
GPT teacher head0.242
Teacher spread0.223 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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