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Record W2360088688

Spatial linkage of global container shipping network

2015· article· en· W2360088688 on OpenAlexaboutno aff
XU Mengqia

Bibliographic record

VenueJournal of Shanghai, Maritime University · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLinkage (software)Container (type theory)ArcticChinaSpatial distributionSpatial networkGeographyEconomic geographyComputer scienceEngineeringOceanographyGeologyMathematics
DOInot available

Abstract

fetched live from OpenAlex

Due to the lack of research on the spatial linkage of shipping network where the geographical distribution of ports and shipping routes is considered,the global container shipping network is taken as an example to measure the influence of the opening of the Arctic Routes on the spatial linkage of this network. The concept of the spatial linkage of the global container shipping network is illustrated. Based on the gravity model in the spatial interaction theory,a calculation method to the spatial linkage between 2shipping nodes is proposed. An empirical research on the spatial linkage between China and 17 major maritime countries in North America and Europe in 2004-2012 is carried out,and the influence of the Arctic Routes is analyzed. The results indicate that the spatial linkage between China and Canada,USA,the Northwest European maritime countries will strengthen because of the opening of the Arctic Routes.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.765
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.029
GPT teacher head0.275
Teacher spread0.245 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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