Migration and Urbanization in Francophone West Africa: A review of the recent empirical evidence
Bibliographic record
Abstract
(english) This contribution proposes to re-examine the contribution of migration to urbanization in the developing world, by presenting a comprehensive review of research on Francophone West Africa. The contribution of migration to urbanization is examined from different points of view: demographic, geographic and economic. The paper presents the context of urbanization, describes new trends in migration flows between urban and rural areas, and examines how migrants integrate in the city and fit in the urban economy. The conclusions are that migrants adapt quite well to the city and that urban integration problems do not concern exclusively migrants but all city-dwellers, especially the youths. However social and economic integration should also be studied from the rural point of view, taking into consideration the recent urban-torural migration flows and the slow-down of urban growth. (français) Cette contribution se propose de réexaminer le rôle des migrations dans l’urbanisation du monde en développement, en présentant une synthèse des résultats de recherches menées en Afrique de l’Ouest francophone. La contribution de la migration à l’urbanisation est considérée du point de vue tant démographique, qu’économique et géographique. Elle présente le contexte de l’urbanisation, décrit les nouvelles tendances des flux migratoires entre les milieux urbains et ruraux, et analyse comment les migrants s’insèrent dans la ville et s’adapte à l’économie urbaine. Les conclusions montrent que les migrants s’adaptent fort bien à la vie urbaine et que les problèmes d’insertion urbaine ne concernent pas seulement les migrants mais tous les urbains, en particulier les jeunes. Cependant, l’insertion économique et sociale devrait également être étudiée du point de vue rural, en prenant en compte les flux migratoires récents de l’urbain au rural, ainsi que le ralentissement de la croissance urbaine.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".