Démographie et développement en Afrique : éléments rétrospectifs et prospectifs
Bibliographic record
Abstract
Cet article examine les relations entre démographie, croissance économique et développement social en Afrique. Après avoir retracé les grandes lignes des dynamiques démographiques et montré la spécificité du continent dans le panorama général des transitions démographiques à l’échelle mondiale, les auteurs replacent les débats relatifs aux politiques de population et de développement dans le contexte africain. Ils analysent ensuite les relations générales en Afrique entre croissance démographique et développement, en mettant en évidence la spécificité du Maghreb et le rôle de l’amélioration du capital humain dans les changements démographiques. Sur cette base sont proposées ensuite trois trajectoires démo-économiques possibles à moyen terme. En conclusion l’accent est mis sur la nécessité de donner une spécificité régionale aux politiques de développement.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.011 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 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".