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Record W2612416811 · doi:10.1093/cjcl/cxx011

The Political Economy of Chinese Bilateral Investment Treaty Policy

2017· article· en· W2612416811 on OpenAlexaff
Tyler Cohen, David Schneiderman

Bibliographic record

VenueThe Chinese Journal of Comparative Law · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTreatyChinaPolitical economyCommunismLiberalizationPolitical scienceForeign direct investmentInvestment (military)PoliticsEconomicsEconomic systemLegislatureMarket economyInternational tradeLaw

Abstract

fetched live from OpenAlex

Among the most significant developments in international investment law and policy in the past decade has been China’s adoption of a new model of bilateral investment treaty (BIT) that embraces disciplines commonly found elsewhere. This has been celebrated by some scholars as heralding the arrival of a universal model for investment protection that will transform Chinese domestic policy. Others have expressed scepticism that Chinese policy portends the liberalization of the Chinese economy. Nor does it indicate that China has embraced neoliberal norms requiring the state to recede from controlling the levers of economic power. Both sides purport to derive their readings from shifts in Chinese investment policy and internal legislative change. We propose another reading derived from shifts in Chinese Communist Party (CCP) leadership and the party’s perception of what is required to guarantee its stability and continued dominance. The object is to understand Chinese BIT policy as a product of the complex and interacting influences reflected in debates within the CCP. By examining four main eras in which China BIT policy has evolved, we aim to bring the Party back into discussions about investment treaty policy.

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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.526
Threshold uncertainty score0.575

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 studies0.0010.001
Scholarly communication0.0010.001
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 head0.028
GPT teacher head0.316
Teacher spread0.288 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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