Paysage et déplacements : les Pôles d’Échanges Multimodaux Relais, pour une mutation des rapports entre les communes périurbaines dotées d'une gare et la ville Centre
Bibliographic record
Abstract
Cette etude porte sur l’implantation de PEM Relais dans quatre communes periurbaines proches de Laval en Mayenne. Apres avoir defini la notion de periurbanisation, les caracteristiques de ces localites vont etre developpees, ainsi que les rapports qu’elles entretiennent avec la ville Centre. Le ferroviaire, grâce a l’arrivee de la LGV BPL en 2017, constitue une alternative possible a l’utilisation majoritaire de la voiture dans ces territoires, surtout pour les mobilites quotidiennes. Le PEM Relais, pourrait permettre d’apporter une nouvelle dynamique aux communes (diversification residentielle, commerciale, associative…). Il fonctionne en etroite relation avec un PEM Centre (echanges de Peripherie -> Ville Centre, mais aussi de Ville Centre -> Peripherie), et traduira une mutation des rapports entre les communes periurbaines dotees d’une gare et la ville Centre. Une methodologie d’etude permettra de mettre en evidence les criteres de reussite des PEM Relais, leurs specificites et leurs possibilites d’integration paysagere grâce a l’action du paysagiste.
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 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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".