MétaCan
Menu
Back to cohort
Record W2917093404 · doi:10.5509/20199215

To Join or Not to Join? State Ownership, Commercial Interests, and China’s Belt and Road Initiative

2019· article· en· W2917093404 on OpenAlexvenueno aff
Xiaojun Li, Ka Zeng

Bibliographic record

VenuePacific Affairs · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
Fundersnot available
KeywordsJoin (topology)ChinaBusinessState (computer science)Political scienceLawComputer scienceProgramming languageMathematics

Abstract

fetched live from OpenAlex

The Belt and Road Initiative (BRI) is often regarded as a vehicle of China’s economic statecraft in that country’s endeavour to expand its geopolitical influence overseas through investments and trade. In today’s globalized world, however, the vast majority of international economic interactions are conducted by firms, not states. The success of the BRI therefore depends on whether and how China can compel its firms to behave in a way that serves the strategic interests of the state. Using a unique firm-level survey, we find that Chinese firms’ interests in the BRI do not necessarily align with those of the state. Despite similar perceived risks and challenges to participation in the BRI among private and state-owned firms in China, state-owned enterprises are much more likely than private ones to express a willingness to participate in the BRI. These Endings highlight the importance of state control in the exercise of economic statecraft.

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)0.003
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: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.305
Teacher spread0.271 · 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

Citations30
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePacific AffairsSame topicInternational Development and AidFrench-language works237,207