Itinéraire et innovations sociales en milieu associatif d’Afrique de l’Ouest
Bibliographic record
Abstract
Partant du constat selon lequel les grilles de lecture habituelles des associations en Afrique occultent les mutations en cours dans ce milieu ainsi que l’articulation de celles-ci avec les enjeux sociétaux, cet article cherche à mettre en évidence les innovations sociales en milieu associatif sénégalais. C’est pourquoi il part de l’itinéraire du mouvement associatif en vue de systématiser ses tendances lourdes ainsi que son potentiel innovateur et alternatif à la lumière des mutations que vit ce pays. L’analyse révèle le fait que dans ce contexte de précarité, le mouvement associatif se positionne comme acteur d’innovations sociales autour de quatre tendances actuelles : l’empowerment communautaire et territorial, l’entrepreneuriat communautaire, la coproduction de services publics locaux ainsi que le positionnement sur des enjeux nationaux et internationaux. Toutefois, ce potentiel innovateur pluriel reste inhibé par diverses contraintes expressives d’un potentiel alternatif limité.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.011 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".