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Record W2590612334 · doi:10.3390/su9030328

Functional Differentiation and Sustainability: A New Stage of Development in the Chinese Container Port System

2017· article· en· W2590612334 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

VenueSustainability · 2017
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsUniversity of Manitoba
FundersNational Office for Philosophy and Social SciencesNational Natural Science Foundation of China
KeywordsPort (circuit theory)ChinaBusinessCompetition (biology)SustainabilitySustainable developmentEngineeringGeographyEcology

Abstract

fetched live from OpenAlex

Adjacent ports played a significant role in the evolution of the port system. In our study, we selected five pairs (i.e., Dalian–Yingkou, Qingdao–Yantai, Shanghai–Ningbo, Xiamen–Quanzhou, and Shenzhen–Guangzhou) of the most important adjacent ports in China to reveal the recent trend of China unique port system development; how and why will port system development be de-concentrated; and integrate the conceptual modal into in-depth analysis. The major findings are as follows: (1) There is functional differentiation in adjacent ports. To some big ports’ sustainability, they focus on foreign trade while other small ports, in order to achieve sustainable development, they focus on domestic trade; (2) First-mover advantage and dislocation competition is a mechanism of China ports functional differentiation; (3) Shanghai and Ningbo are unique in that both ports are similarly focused on foreign trade because they both have deep-water harbors, excellent geographical location, export-oriented hinterland economy, and close foreign investment relationships.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.019
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.009
GPT teacher head0.234
Teacher spread0.225 · 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