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Record W4386177608 · doi:10.46298/cst.12089

The region, the scale of relevance of own account transport in france: inventory of fixtures and some lights with the characteristics of the service of transport

2009· article· en· W4386177608 on OpenAlexaff
Cécilia Cruz, Pierre Zembri

Bibliographic record

Venue˜Les œCahiers scientifiques du transport · 2009
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

Since the end of 1980’s, own account transport has sizeable decreased, regulation could be one of the reasons of this reduction. Nevertheless, own account transport is still used in intraregional trade. Average distances are almost the same that in 1980’s. Average distances have little varied as showed results of a recent survey. A classification of regions by products transported by own account transport show diversity of its utilization. Then, utilization of own account transport is different according to regions regardless the structure of their activity. The specificity of products isn’t only the factor of utilization of own account transport. La part du transport pour compte propre a fortement diminué depuis la fin des années 1980 notamment en raison de la déréglementation. Cependant le transport pour compte propre reste encore très présent dans les flux intrarégionaux. Les distances moyennes de ce type de transport ont peu varié comme le montrent les résultats d’une enquête récente. La typologie des régions élaborée en fonction des produits transportés en compte propre en intrarégional en souligne la diversité d’utilisation. Par ailleurs, indépendamment de la structure d’activité des régions, le recours au transport pour compte propre pour un même produit diffère selon les régions, le critère de la spécificité du produit ne semble pas l’unique facteur à prendre en compte dans ce choix.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score0.955

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.168
Teacher spread0.161 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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