Bibliographic record
Abstract
Cet article vise à examiner la critique wittgensteinienne d’Héraclite et des idées de ce dernier selon lesquelles « tout coule » et « on ne peut entrer deux fois dans la même rivière ». Dans la première section, j’examinerai les sources et les interprétations traditionnelles de ces idées. Dans la seconde section, je discuterai le lien établi par David G. Stern entre les remarques de Wittgenstein sur l’image de la rivière et l’étude qu’il a faite de Platon à partir de 1931. Dans la troisième section, je m’attacherai aux notes sur Héraclite antérieures à 1931 et je les relierai à la question d’un langage phénoménologique. Puis, dans les sections quatre et cinq, je critiquerai le portrait que dresse Hintikka de Wittgenstein en phénoménologue et je fournirai une analyse approfondie de la phénoménologie de Wittgenstein. Enfin, dans la sixième section, je tenterai de faire une synthèse de l’ensemble et de porter un nouveau regard sur la dernière philosophie de Wittgenstein.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.040 |
| Scholarly communication | 0.007 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".