La critique de la psychologie de Natorp dans la Ve Recherche logique de Husserl
Bibliographic record
Abstract
La présente étude vise à identifier et à clarifier quelques aspects centraux de la critique de la psychologie de Natorp dans la VeRecherche logique de Husserl. Après avoir ramené l’argumentation de Husserl à quatre objections principales, nous montrons qu’elles ont toutes pour enjeu l’idée d’une psychologie empirique de style brentanien. Nous commentons sur cette base deux questions parmi les plus significatives soulevées par la controverse Husserl-Natorp : la nature de la différence entre le psychique et le physique et la possibilité d’objectiver les contenus phénoménaux — en clarifiant en quel sens les deux auteurs y apportent des réponses diamétralement opposées. L’article s’achève par quelques remarques sur les faiblesses de la conception de Natorp.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.006 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| 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".