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Record W4417009281 · doi:10.46298/cst.13478

Le secteur des transports routiers de marchandises : des conditions de travail et d’emploi souvent précaires

2025· article· en· W4417009281 on OpenAlexaff
Pétronille Rème-Harnay

Bibliographic record

Venue˜Les œCahiers scientifiques du transport · 2025
Typearticle
Languageen
FieldEngineering
TopicUrban and Freight Transport Logistics
Canadian institutionsMinistère des Transports
Fundersnot available
KeywordsWork (physics)PoolingOrder (exchange)Scope (computer science)Quality (philosophy)Production (economics)Resource (disambiguation)Sharing economy

Abstract

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What role can alternatives to traditional freight transport play? The aim of this article is to analyze the role of alternatives to traditional road freight organizations. To do so, it identifies the limits of these organizations, particularly in terms of employment and energy transition. More specifically, three markets are distinguished : long-distance transport, parcel delivery services and platform delivery. For each of these markets, we have carried out qualitative field studies that enable us to identify the market structure and economic imbalances that characterize them, in order to show the consequences for delivery drivers and the energy transition. Faced with these limitations, we then analyze the initiatives created by players in these transport systems. We seek to determine what forms of production organization and business models can make economic performance, dignified work and resource conservation compatible. In the course of our investigations, we identified five alternative forms of organization: couriers cooperatives, groupings of long-distance carriers, a grouping of parcel delivery small companies, a new intermediary for large volumes and a cooperative of farmers and carriers. The article shows that none of these alternatives worked in the parcel delivery sector. On the contrary, in the long-haul and platform delivery sectors, several organizations are proving to be sustainable. Pooling resources and sharing profits seem to be interesting ways of ensuring economic performance, dignified work and energy transition. However, the widespread adoption of these initiatives still raises questions. Geographically, it is limited by the scope of deliveries, and economically, by the need to maintain a high quality of service. L’objectif de l’article est d’analyser la place des alternatives aux organisations classiques de transports routiers de marchandises. Pour ce faire, il identifie les limites de ces organisations notamment en termes d’emploi et de travail. Nous distinguons plus précisément trois marchés, celui des transports en longue distance, celui de la messagerie et celui de la livraison pour des plateformes. Sur chacun de ces marchés, nous avons réalisé des enquêtes empiriques qui nous permettent d’identifier la structure du marché et les déséquilibres économiques qui les caractérisent pour en montrer les conséquences sur les livreurs. Face à ces limites, nous analysons ensuite les initiatives créées par des acteurs de ces systèmes de transport. Nous cherchons à déterminer quelles formes d’organisation de la production, de modèles d’entreprises, peuvent rendre compatibleperformance économique et travail digne. Lors de nos enquêtes, nous avons identifié plusieurs formes d’organisation alternatives : des coopératives de coursiers, des groupements de transporteurs, un nouvel intermédiaire pour les gros volumes. L’article montre qu’aucune alternative n’a fonctionné dans le secteur de la messagerie. Au contraire, dans le secteur des transports en longue distance et de la livraisonde repas, plusieurs organisations se montrent pérennes. La répartition des bénéfices semblent une voie intéressante pour assurer performanceéconomique et travail digne. Cependant la généralisation de ces initiatives pose encore question. Sur un plan géographique, elle est limitée par le périmètre de livraisons et sur le plan économique, par le maintien d’une qualité de service élevée.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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 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
Published2025
Admission routes1
Has abstractyes

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