Attractivité et parcours résidentiels au sein des grandes aires urbaines
Bibliographic record
Abstract
Entre 2012 et 2013, 44 600 menages sont arrives dans une des sept principales aires urbaines des Pays de la Loire. Ils sont plus jeunes que la population residente et ce sont plus souvent des personnes seules. Dotees d’offres de formations superieures, les aires urbaines de Nantes et Angers captent particulierement les moins de 25 ans, qui sont egalement les menages les plus mobiles. Laval et La Roche-sur-Yon, au regard de leur taille, sont relativement attractives, contrairement aux aires urbaines du Mans et de Cholet. En lien avec l’attrait du littoral, les menages qui s’installent dans l’aire urbaine de Saint-Nazaire sont plus âges qu’ailleurs. Sur la meme periode, 87 000 menages changent de logement a l’interieur de ces sept grandes aires urbaines. Ce sont plus souvent des familles et ils sont moins jeunes que les nouveaux arrivants dans l’aire urbaine. S’ils demenagent souvent a proximite de leur precedent logement, certains s’eloignent cependant de la ville-centre pour acceder a un logement plus grand ou devenir proprietaires.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".