L’impact des migrations internationales et des mobilités résidentielles sur l’évolution socio-spatiale des agglomérations de Luxembourg et Bruxelles
Bibliographic record
Abstract
Les inégalités sociales et spatiales n’ont cessé de croître depuis les dernières décennies dans plusieurs aires métropolitaines en Europe, comme Bruxelles et Luxembourg. L’immigration sélective entrante et sortante peut, d’une part, jouer un rôle de levier par lequel la ségrégation se renforce et, d’autre part, être un processus initiant la gentrification et la dispersion spatiale. Nous analyserons ici les dynamiques que la mobilité résidentielle et l’immigration internationale entrainent en matière de croissance des inégalités, notamment en observant la diffusion de différents groupes sociaux sur ces territoires. Le contexte économique postfordiste de compétition sera au centre de notre questionnement, et plus particulièrement son rôle comme moteur de la composition sociale appliqué aux structures spatiales de Bruxelles et Luxembourg.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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 teacher head, 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".