La localisation des services aux entreprises dans la métropole lyonnaise : entre centralité et diffusion
Bibliographic record
Abstract
<titre>RÉSUMÉ</titre>Cet article traite de l’évolution des localisations des établissements de services aux entreprises dans la métropole lyonnaise à partir de données de l’INSEE et d’une enquête. Il apparaît que les implantations périphériques connaissent un développement significatif qui résulte de créations plutôt que de transferts depuis le centre. Cette dynamique s’appuie largement sur la configuration des axes de transport et la périphérisation des clients. Le centre métropolitain conserve cependant une très forte attractivité, du fait de la présence d’atouts spécifiques comme un fort potentiel de clientèle, la présence du TGV et le prestige associé à l’adresse. Les stratégies de localisation diffèrent toutefois notablement entre les catégories de services aux entreprises, et participent au maintien de disparités de type centre-périphérie mais également est-ouest.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; both teacher heads agree on what is shown here.
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".