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Record W2123381515 · doi:10.1111/joes.12081

CHINA'S SERVICE TRADE

2014· article· en· W2123381515 on OpenAlex
Hejing Chen, John Whalley

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 Economic Surveys · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsCentre for International Governance InnovationWestern University
Fundersnot available
KeywordsChinaComparative advantageOpenness to experienceEconomicsInternational tradeTertiary sector of the economyTrade barrierService (business)International economicsForeign direct investmentEconomyGeographyMacroeconomics

Abstract

fetched live from OpenAlex

Abstract This paper assesses the performance of China's service trade over recent decades by summarizing and presenting data on its size, growth rate, sectoral composition, comparative advantage, and degree of openness. The evidence based on comparative analysis suggests that despite China's high growth rate, the development of China's service trade lags behind its merchandise trade. With a policy environment adjusted in China's 12th 5‐Year Plan, a growing significance of China's service trade to both China and the global economy is likely under the prospective development strategy. China's service trade has already had large impacts on China's economic growth, employment, and technology diffusion. We suggest that even more major impacts will follow in the years to come and that there are implications for global trade, FDI, and labor migration.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.057
GPT teacher head0.218
Teacher spread0.161 · 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