Pratiques et lieux du e-commerce alimentaire
Bibliographic record
Abstract
La pratique du e-commerce est largement diffusée dans la population française. Si les produits culturels, l’habillement, l’électroménager sont aujourd’hui fréquemment achetés en ligne, les achats alimentaires sur Internet demeurent une niche malgré une augmentation significative ces dernières années. La gamme des produits alimentaires que l’on peut acheter sur Internet tend par ailleurs à s’élargir tout comme leur mode de livraison et de retrait. En particulier, le point de retrait devient une alternative forte à la livraison à domicile dont les contraintes logistiques en font un modèle fragile et de plus en plus spécifique. En analysant les formes de e-commerce alimentaire en France et leurs modalités en termes de réorganisation des chaînes logistiques et de mobilités des consommateurs, nous proposons d’éclairer les enjeux territoriaux liés à ces nouvelles pratiques d’achat.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".