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Record W3080262374 · doi:10.1002/pa.2347

China's Belt and Road Initiative: Implications for i<scp>ntra‐regional</scp> trade in Africa

2020· article· en· W3080262374 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Public Affairs · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsChinaBusinessTransport infrastructureInternational tradeService (business)Transportation infrastructureEconomicsEconomyPolitical scienceTransport engineering

Abstract

fetched live from OpenAlex

This paper considers the prospects and promises of continent‐wide infrastructure projects under China's Belt and Road Initiative (BRI), and its implications for intra‐regional trade and economic development in Africa. Building on the supply side theory of trade and economic development, and taking cognizance of the impacts of asymmetric market sizes on trade integration, this paper argues that continent‐wide infrastructure projects are perhaps not the biggest constraints to intra‐Africa trade. Consequently, the paper recommends caution in pursuing regional infrastructure projects under the BRI. Given that the economies of most African countries depend largely on natural resources, the BRI could be adopted strategically to establish and manage infrastructure projects that would relax the binding constraints to structural transformation and allow for the development of manufacturing and/or service capabilities in the respective countries, especially in niche areas.

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.

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)0.001
metaresearch head score (Gemma)0.001
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: none
Teacher disagreement score0.886
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.084
GPT teacher head0.314
Teacher spread0.230 · 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