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Record W2765614679

Des marchandises dans la ville : Un enjeu social, environnemental et économique majeur

2017· preprint· en· W2765614679 on OpenAlexaff
Lætitia Dablanc, M. Savy, Veltz Pierre, Axel Culoz, Muriel C. Vincent

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2017
Typepreprint
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Freight transport and urban logistics are of prime importance. The jobs associated with these activities are very numerous (290,000 in Ile-de-France to which we must add the interim, particularly important) and strategic because they concern people with low and medium school qualifications. The multiplication of logistics centers in the urban peripheries (+ 37% between 2000 and 2012 in Île de France), the explosion of direct deliveries to individuals with the development of e-commerce, up to the demand for 'instant delivery' (the merchandise arrives less than two hours after the order) transform the urban landscape and lifestyles. The economy of digital platforms, supported by start-ups or very large groups, finds one of its privileged fields of development. Despite this high visibility, logistics remains the poor relation of debates and public policies in the metropolises. Cities have little culture of freight transport and use only a modest amount of resources at their disposal. Despite advances in the knowledge of the stakes, despite a high number of strategic programs, our country lacks a solid and realistic corpus of urban transport policies. The subject is treated piecemeal, with regulatory variations according to the communes within the same agglomeration such that they render their respect random and sometimes impossible.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.212
Teacher spread0.183 · 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 designTheoretical or conceptual
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

Citations1
Published2017
Admission routes1
Has abstractyes

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