Faiblesse de la raison ou faiblesse de volonté: peut-on choisir?
Bibliographic record
Abstract
Si l'homme est un être doté de raison et se distingue des autres animaux par sa capacité à réfléchir sur ses actes tant avant de les poser qu'après, il lui arrive cependant d'être irrationnel. Tandis que certains s'en désolent, considérant les différentes formes d'irrationalité comme autant d'expressions de notre inaptitude à atteindre la sagesse, d'autres semblent plutôt s'en réjouir, estimant que la possibilité de ne pas se conformer à ce que dicte ou suggère la raison est une preuve de notre radicale liberté. Mais quel que soit le jugement moral, explicite ou implicite, porté sur ces phénomènes, la plupart des philosophes ne se contentent pas de les constater. Ils tentent de les cerner, d'en comprendre les mécanismes, parfois de les justifier. Comment et pourquoi? Telles sont les questions auxquelles voudrait répondre ce numéro portant sur la délibération et l'irrationalité dans l'histoire.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.023 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".