Migration résidentielle vers le rural et le périurbain : un processus ségrégatif ?
Bibliographic record
Abstract
À partir des données issues du recensement général de la population de 2014, nous analysons à l’échelle des bassins de vie, le lien entre migration résidentielle à destination des espaces ruraux et périurbains et ségrégation socio-spatiale. Nos résultats montrent que les individus sont sensibles aux caractéristiques sociodémographiques du voisinage dans leurs territoires d’origine et de destination. Alors que le capital humain est source de rétention pour les territoires d’origine, les individus mobiles apparaissent sensibles au degré d’homogénéité sociale des territoires. Enfin, l’influence des caractéristiques sociodémographiques sur les migrations résidentielles vers les territoires ruraux et périurbains varie selon les catégories socioprofessionnelles. Classification JEL : J61, R23, R15, C01.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".