Le désengagement de l’État en Afrique et les initiatives locales : la naissance de nouvelles formes de partenariat.
Bibliographic record
Abstract
La plupart des pays africains font face à des problèmes économiques d'une ampleur sans précédent; les gouvernements, faute de moyens, ne sont plus en mesure de fournir aux populations les services sociaux essentiels, les services publics et les infrastuctures. Les chercheurs ont eu tendance à porter la discussion sur les faiblesses institutionnelles des Etats africains et la nécessité de construire un État fort autour d'une administration centralisée. En ce sens, les chercheurs ont partagé ce que l'on appelle ici le « paradigme de l'engagement » de l'État. Dans la discussion nous avons voulu montrer comment les individus et les groupes sociaux, face au « désengagement » de l'État, s'ajustent, développent de nouvelles stratégies de survie et de nouveaux arrangements organisationnels, et ainsi créent de nouveaux centres de dialogue et d'assistance mutuelle. Trois exemples sont rapportés: 1) les amicales de quartier au Maroc; 2) les nouvelles formes de partenariat public-privé dans le domaine du transport urbain à Casablanca et à Rabat; 3) les associations villageoises au Sénégal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.012 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 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; 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".