Crise économique, pauvreté et modification de la fécondité dans les deux métropoles camerounaises (Douala et Yaoundé)
Bibliographic record
Abstract
Depuis quelques dizaines d'annees, l'attention s'est focalisee sur la relation entre le niveau de vie et la fecondite realisee, au detriment des preferences de fecondite future. L'objectif de cette etude consiste a se demander dans quelle mesure le niveau de vie influence la fecondite des femmes des deux metropoles camerounaises. Nous montrons dans cette these que: (1) les plus pauvres ont donne naissance a plus d'enfants que les plus aisees; (2) les objectifs de fecondite, mesures par les preferences de fecondite future, sont moins divergents que la fecondite deja realise��e; (3) les differences actuelles sont alors produites, par un acces inegal aux moyens de controle de naissance, privant particulierement les plus demunies de la possibilite affirmee de rapprocher leur parite realisee de la parite ideale souhaitee. Cette recherche montre que les programmes de sensibilisation pour une maitrise de la fecondite trouveront probablement un echo plus favorable et fourniront des resultats bien plus probants qu'auparavant. Car la transition de la fecondite semble inscrite dans les tetes, meme si elle ne s'exprime pas encore totalement dans les faits.
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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 | 0.000 | 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) | 0.001 | 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".