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Record W2596125325 · doi:10.3138/cpp.2016-072

The Past and Future of China's Role in the East Asian Economy: A Trade Perspective

2017· article· en· W2596125325 on OpenAlexvenueno aff
Yibing Ding, Xiao Li

Bibliographic record

VenueCanadian Public Policy · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsChinaEast AsiaEconomicsForeign direct investmentGlobalizationEconomic systemChinese economyEconomic globalizationInvestment (military)Capital (architecture)World economyEconomic integrationCapital goodEconomyInternational tradeMarket economyGoods and servicesPolitical scienceGeography

Abstract

fetched live from OpenAlex

Since the 1990s, the development of a market-oriented economy and engagement with globalization have given China a role as the primary export platform of the East Asian economy. This has not only promoted the exports of capital and intermediate goods of other East Asian economies, but it has also deepened the regional production networks under the US-dominated global economic system. Currently, as China is entering an economic “new normal,” its economic structure and growth pattern will experience a period of transition. Thus, its role in the East Asian economy and the global economic system will change accordingly. China's new role as a main market for the final consumer goods in the region might increase. To facilitate its change in role, China should continue to reform its domestic economy, develop regional economic cooperation, and increase the qualities of its labour force and foreign direct investment inflows. In addition, it needs to deal with several uncertainties that might arise during the transition.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.118
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0020.004
Scholarly communication0.0050.005
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.207
Teacher spread0.184 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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