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Record W2753931218 · doi:10.14807/ijmp.v8i3.619

Author the red-med railway project a serious competitor to the suez canal for cargo containers?

2017· article· en· W2753931218 on OpenAlexaff
Salem Y. Lakhal, Souad H’Mida

Bibliographic record

VenueIndependent Journal of Management & Production · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicLaw, logistics, and international trade
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsSuez canalPort (circuit theory)ChinaCabinet (room)BusinessPosition (finance)GeographyFinanceEngineeringInternational tradeArchaeology

Abstract

fetched live from OpenAlex

Israel and China have finalized a project plan initiated in 2012. This project received the green light from Israeli cabinet in March 2014. With this venture, China will build a cargo railway line connecting the port of Eilat in the Red Sea to the ports of Ashdod and Haifa on the Mediterranean coast in Israel. This project will be a shipping alternative to the Suez Canal. This statement is the corner stone of this paper and considered an hypothesis to be verified within this paper. The methodology used is based on the concept of “market position.” The main conclusion, theoretically, the Red-Med railway could be an alternative to the Suez Canal for in the 4,000 TFE Vessels containers transportation as far as costs are concerned. However, other concerns, such as the security in the Suez Canal and the risk of its shutdown, must be considered too.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.052
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0520.004

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 head0.044
GPT teacher head0.295
Teacher spread0.251 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2017
Admission routes1
Has abstractyes

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