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Record W2371934922

Port,railway and the changes in Qingdao city:1898-1937

2010· article· en· W2371934922 on OpenAlexaboutno aff
Qianqian Xu

Bibliographic record

VenueAnhui shixue · 2010
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsnot available
Fundersnot available
KeywordsPort (circuit theory)ChinaBoomEconomyCapital (architecture)GeographyDowntownQuarter (Canadian coin)BusinessEngineeringEconomicsArchaeology
DOInot available

Abstract

fetched live from OpenAlex

In the late 19th and the early 20th century,new modes of transportation,such as railways and port,led to new economic and social development in China.At the same time,many new transport-oriented cities grew up,and Qingdao was one of them.With the port and being the start of the Jiaoji railway,Qingdao underwent rapid changes during the years between 1898 and 1937.The formation of a transport system of both port and railway had greatly improved the local traffic conditions,which helped Qingdao become a hub of road traffic and the largest port along the coast of Shandong Province.Through the coordination of port and railway,labor,capital and goods flew with an unprecedented speed and scale from inlands to Qingdao and abroad,leading to the city's rapid industrial and economic development.The boom of transportation,industry and commerce attracted a large number of laborers and businessmen to Qingdao.Thus,the urban population of Qingdao increased and the downtown streets expanded greatly.With the port and the Jiaoji railway,Qingdao achieved its change from a small fishing village to a modern city,and therefore led to the changes of the traffic and economic patterns in Shandong Province and modern North China.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.359

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 head0.008
GPT teacher head0.197
Teacher spread0.189 · 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 designNot applicable
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

Citations0
Published2010
Admission routes1
Has abstractyes

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