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Record W1717561320 · doi:10.3917/eg.371.0045

(Re)spatialiser la question portuaire : pour une lecture géographique des arrière-pays européens

2008· article· fr· W1717561320 on OpenAlexaff
Jean Debrie, David Guerrero

Bibliographic record

VenueL’Espace géographique · 2008
Typearticle
Languagefr
FieldEngineering
TopicMaritime Ports and Logistics
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Résumé La notion d’arrière-pays portuaire est actuellement relue dans un contexte marqué par la mondialisation des pratiques des opérateurs du transport et de la logistique. Le développement de réseaux mondiaux semble modifier le rapport entre les points des réseaux et leurs aires d’influence. Cet article aborde l’hypothèse inverse, c’est-à-dire l’éventuelle permanence de métriques classiques dans la composition des arrière-pays. Nouvelles pratiques mondialisées complexes (réseaux mondiaux) mais conséquences spatiales simples (distance, polarisation, hiérarchisation), c’est le binôme qui est abordé dans cet exercice appliqué aux arrière-pays français de différents ports européens.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.743
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.240
Teacher spread0.220 · 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.

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

Citations23
Published2008
Admission routes1
Has abstractyes

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