La transition démographique : un enjeu majeur pour l'Afrique tropicale
Bibliographic record
Abstract
Cette étude porte sur les conséquences des projections démographiques des Nations Unies, horizon 2050, et surtout horizon 2100, pour l'Afrique Tropicale, regroupant 46 des 56 états africains au sens onusien, considérant par exemple Mayotte et la Réunion /départements français/ comme des états africains. Ces projections, analysées ici, montrent la gravité de la situation. En effet, si rien n'est fait dès maintenant, l'Afrique Tropicale dépassera les 3.8 milliards d'habitants ! Avec un Nigéria à plus de 750 millions d'habitants, la RD Congo à plus de 300 millions d'habitants, la Tanzanie à près de 300 millions d'habitants, le Niger dont la population sera multipliée par 2.6 en moins d'un demi-siècle, etc... Ce ne sont que des prévisions certes, mais on aurait grand tort de ne pas les prendre au sérieux, principalement celles de 2050.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".