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The Chinese Enigma: Impacts of WTO Accession Upon Canadian and U.S. Exports and Imports

2000· article· en· W2073261084 on OpenAlexaffvenueabout
Xiao‐yuan Dong, Michele M. Veeman, Terrence S. Veeman

Bibliographic record

VenueCanadian Journal of Agricultural Economics/Revue canadienne d agroeconomie · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Issues and Policies
Canadian institutionsUniversity of AlbertaUniversity of Winnipeg
Fundersnot available
KeywordsChinaInternational tradeAccessionMilestoneWorld economyBusinessTrade barrierWorld tradeInternational economicsEconomicsEuropean unionGeographyPolitical science

Abstract

fetched live from OpenAlex

China's accession to the World Trade Organization (WTO) is an important milestone in the integration of this nation into the world economy. Substantial reduction in trade barriers by China, one of the world's largest and most rapidly growing economies, is expected to have a significant impact, both on China itself and on the global economy. In assessing likely impacts on trade between China and North America of China joining the WTO, a priori one might expect new opportunities for China in labor intensive activities/products, while for the United States and for Canada one might expect added export market opportunities, as China grows, in activities/products that require land, resources and capital. However, the extent to which China and its trading partners will benefit from China's increasing integration into the global economy will largely depend on the internal changes in policy and infrastructure that may be adopted by China. China has embarked on a process of economic reform, but the speed and extent to which this continues to be pursued will affect this nation's ability to capitalize on its comparative advantages and to meet new challenges that are associated with the opportunities of access to a larger market. The difficulty of forecasting such internal changes means that China continues to be a major source of uncertainty in projecting world markets and trade flows. This uncertainty is particularly evident for trade in agricultural products

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.050
Threshold uncertainty score0.307

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0060.005
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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 designObservational
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
Published2000
Admission routes3
Has abstractyes

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