Dynamiques de l’aménagement du territoire et inégalités sociospatiales au Sénégal
Bibliographic record
Abstract
Cet article s’intéresse à la problématique de l’aménagement du territoire et des inégalités territoriales au Sénégal. Il examine, d’une part, les pratiques courantes d’aménagement du territoire par rapport à la question de la justice spatiale. D’autre part, il montre les effets significatifs de l’aménagement du territoire sur la qualité et le niveau de vie des populations. La méthode porte sur le traitement, l’analyse et la modélisation d’une base de données démographiques, socioéconomiques et d’infrastructures sociales fondamentales des différentes régions. L’analyse en composante principale (ACP) permet d’organiser les 12 variables en deux principaux groupes qui expliquent l’essentiel des données. Elle est suivie d’une cartographie avancée qui montre les spécificités et la dynamique spatiale des processus d’aménagement du territoire, 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".