MétaCan
Menu
Back to cohort
Record W2170929296 · doi:10.5539/jgg.v6n2p145

Study on Progress of Developing Strategy on Ports Cluster: Integration of Port Resources

2014· article· en· W2170929296 on OpenAlexvenueno aff
Zhanxin Xiao, Liuyu Zhou, Jin Liang, Hongzhong Li, Zihan Hong

Bibliographic record

VenueJournal of Geography and Geology · 2014
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsPort (circuit theory)BusinessMonopolyResource (disambiguation)Competition (biology)Industrial organizationProcess (computing)Order (exchange)International tradeEconomicsComputer scienceEngineeringMarket economy

Abstract

fetched live from OpenAlex

Ports play important roles in linking transportation routes and distributing cargo, which promote the national and regional economy and trade development. Although ports formerly dominated the distribution and transportation of cargo in the era of sailing boats all over the world, their monopoly has been challenged more and more fiercely during the process of economic globalization and integration. Under the current economic conditions, the competition or opposition between the ports are not suitable for their normal operation. In order to adapt to the ongoing reformation of sea transportation, it is inevitable that port resources integrate to take advantage of complementary cooperation. As the integration of resource can optimize the allocation of the limited port resources, it brings about overall advantage to promote the development of port cluster and regional economy. However, a lot of problems would still need to face in the practical process. To meet the requirements of economic and social development, the researchers have launched a large number of theoretical and practical researches in their field about the development of port resource integration. So, the theoretical and practical researches in the published papers are studied to open out the significances of port resource integration and seek after the solution to the problems in development of ports in the present study.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.291

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.013
GPT teacher head0.243
Teacher spread0.230 · 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

Citations3
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Geography and GeologySame topicMaritime Ports and LogisticsFrench-language works237,207