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Record W2809906166 · doi:10.26549/jfr.v1i1.378

Study on the Influence of Network Economy on International Economy and Trade

2017· article· en· W2809906166 on OpenAlexaff
Xiaodong Lv

Bibliographic record

VenueJournal of Finance Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicE-commerce and Technology Innovations
Canadian institutionsLa Cité Collégiale
Fundersnot available
KeywordsInformation economyDigital economyNetwork economyEconomyService economyPost-industrial economyWorld economyChinese economyNational economyEconomicsPlanned economyNew economyStructural changeKnowledge economyInternational tradeBusinessChinaEconomic systemMarket economyPolitical scienceMacroeconomics

Abstract

fetched live from OpenAlex

Research and development and popularization of the internet and other information technologies have accelerated the development rate of Chinese e-commerce industry while at the same time, bringing forward the arrival of the network economy era. Therefore, a study on the economy and trade model under the network economy era shall be conducted for a higher level of Chinese international economy and trade. In view of this, this paper mainly provides a brief overview of the network economy, and deeply analyzes both the positive and negative impacts of the network economy on the international economy and trade. Thus, on this basis, a deep study on specific ways of optimizing the international economy and trade under the background of the network economy has been carried out to further raise the development level of Chinese international economy and trade with the development guarantee for Chinese national economy.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0000.001
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 head0.138
GPT teacher head0.378
Teacher spread0.239 · 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

Citations3
Published2017
Admission routes1
Has abstractyes

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