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Record W1770158014 · doi:10.4000/cybergeo.21743

Inland barge services and container transport: the case of the ports of Le Havre and Marseille in the European context

2011· article· en· W1770158014 on OpenAlexaff
Antoine Frémont, Pierre Franc, Brian Slack

Bibliographic record

VenueCybergeo · 2011
Typearticle
Languageen
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsConcordia University
Fundersnot available
KeywordsBARGEPort (circuit theory)Context (archaeology)Competition (biology)Container (type theory)BusinessOrder (exchange)Transport engineeringEconomyRegional scienceEngineeringGeographyEconomicsFinanceArchaeologyMarine engineering

Abstract

fetched live from OpenAlex

Ports that are able to offer scale economies on land by using combined transport gain a competitive advantage in their port range. The recent rapid expansion of combined waterway-road services at French ports, Le Havre and Marseille, led us to carry out a theoretical and empirical analysis of the causes and conditions that underline this development. In order to more clearly understand the dynamics of the French situation, attention has been broadened to include other competing European ports, Antwerp and Rotterdam. The four-stage theoretical model highlights the interdependence between the setting up of combined waterway-road services, the competition between ports and the competition between shipping lines.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.201
Threshold uncertainty score0.400

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0050.003
Scholarly communication0.0060.004
Open science0.0010.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0100.000

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 head0.010
GPT teacher head0.163
Teacher spread0.153 · 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 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

Citations39
Published2011
Admission routes1
Has abstractyes

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