Bibliographic record
Abstract
Au début des années 2000, les migrations résidentielles entraînent une redistribution spatiale de la population et une opposition entre les zones qui attirent la population mobile à l’ouest et au sud de la France, et les zones en déclin dans le nord-est du pays. L’objectif de ce travail est d’étudier les déterminants de ces dynamiques territoriales. Nous adaptons le modèle de Carlino et Mills [1987] à l’étude de la relation entre les flux migratoires et la croissance locale de l’emploi. Nous montrons que même si la mobilité résidentielle et l’emploi s’influencent mutuellement, les dynamiques économiques dépendent plus des choix de localisation des populations mobiles que l’inverse. Aussi, la dynamique locale de l’emploi suit une logique d’agglomération, alors que les ménages mobiles tendent à s’éloigner des grandes villes. Classification JEL : C31, J62, R11, R23.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.989 | 0.987 |
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".