L’héritage intellectuel de Mario Bunge : entre science et philosophie1
Bibliographic record
Abstract
Mario Bunge vient tout juste de prendre sa retraite universitaire à l’âge vénérable de 90 ans. Après plus de soixante ans d’enseignement de la physique et de la philosophie, il laisse une oeuvre foisonnante et riche. Son style unique allie des arguments incisifs à la clarté du propos. Sa méthode puise dans le vaste arsenal des sciences, de la physique à la sociologie. Bunge suit en cela l’héritage des Lumières, qui prônait la foi en la raison ainsi qu’un certain réalisme et un matérialisme qu’il reprend et retravaille à la lumière des avancées théoriques contemporaines. Peu de philosophes depuis Leibniz ou Russell ont su faire preuve d’autant d’érudition scientifique. Nul doute qu’il mérite une place de choix dans les débats entourant la philosophie des sciences contemporaines.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.018 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".