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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 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 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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.531
Threshold uncertainty score0.314

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.138
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