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Research on the Economic Effect of “Polar Silk Road” on China and Arctic Countries Based on GTAP Model

2020· article· en· W3137644465 on OpenAlexaboutno aff
Xiaoguang Guan, Zhenfu Li, Zhuo Chen, Chaojun Ding

Bibliographic record

VenueJournal of Physics Conference Series · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsChinaArcticSILKPolarThe arcticGeographyEnvironmental scienceInternational tradeBusinessEngineeringEcologyOceanographyGeologyTelecommunicationsBiology

Abstract

fetched live from OpenAlex

Abstract The accelerated melting of sea ice in the Arctic makes the potential value of the Arctic increasingly significant. The exploitation and utilization of the “Polar Silk Road” has important influence on the economic cooperation between China and the Arctic countries along the “Polar Silk Road”. This paper uses GTAP model to simulate and analyze the economic and trade impact of the “Polar Silk Road” on the Arctic countries along the “Polar Silk Road” and China. The results show that the construction of “Polar Silk Road” will have a positive impact on the import and export trade between China and Canada, USA and some Nordic countries, and the GDP and trade structure within the region. China should seize the opportunity to expand the width of “Polar Silk Road” and and further promote the construction of the “Polar Silk Road”.

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 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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.394
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.064
GPT teacher head0.352
Teacher spread0.288 · 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 teacher head, 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

Citations2
Published2020
Admission routes1
Has abstractyes

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