Les communes rurales de Laval agglomération : entre étalement urbain et nouvelles ruralités
Bibliographic record
Abstract
L'etalement urbain a profondement change les territoires ruraux. L’accroissement demogra-phique, l'hyper mobilite, l'evolution de l'activite agricole, la demande d'un cadre de vie plus »vert »... marque un renouveau pour l'espace rural d'aujourd'hui. Le processus d'etalement urbain issu des be-soins economiques, d'infrastructures et de logements, a induit une importante consommation d'espace. De nouvelles dynamiques se developpent aujourd'hui pour lutter contre l'etalement urbain et proteger les espaces naturels et agricoles. Un developpement urbain plus econome et maitrise, des modes de vie plus respectueux de l’environnement sont souhaite. De nombreux textes de lois enca-drent la lutte contre l'etalement urbain et la preservation de l'environnement, multipliant les outils. Les communes rurales, dans ce contexte de protection accrue de l'environnement developpent de nouvelles dynamiques, de nouveaux modes de vie emergent. Dans ce memoire il sera question d'analyser, sur la base du territoire de Laval agglomeration, les evolutions concernant le devenir des espaces agricoles et naturels, et de comprendre le role que jouent les communes rurales dans les pro-cessus de decision.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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; 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".