Fabien Eboussi Boulaga et la fécondité de l’événement. Question de méthode
Bibliographic record
Abstract
En partant de sa méthode telle qu’explicitée dans Les conférences nationales en Afrique noire , des enjeux de celle-ci et des objets qu’il a privilégiés dans Terroirs. Revue des sciences sociales et de philosophie , qu’il a lui-même fondée au début des années 1990, cet article interroge la conception de la philosophie de Fabien Eboussi Boulaga. Il montre que, pour l’auteur de La crise du Muntu , qui s’est toujours méfié de la philosophie des professeurs, philosopher, c’est interroger, élucider ce qui se passe, le quotidien, pour en dégager le sens en évitant de faire intervenir des catégories venant d’une autre expérience. Puisque ce qui se passe nous affecte et nous définit, pour le philosophe, interroger et élucider ce qui se passe, c’est aussi interroger son propre être, sa propre existence.
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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 | 0.021 | 0.051 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".