Bibliographic record
Abstract
Résumé Un des principaux enjeux de la théorie du jugement de Russell consistait à élaborer une théorie qui n'engage pas à admettre des entités complexes vraies, fausses ou inexistantes tels que les objectifs meinongiens. Dans l'etude du débat entre Russell et Wittgenstein sur cette théorie, on n'a jamais sérieusement envisagé que Wittgenstein n'ait pas suivi Russell sur cette question et qu'il ait plutôt adopté une position plus proche de celle de Meinong. Dans cet article, j'aborde cette question et soutiens que Wittgenstein a trouve la solution aux problèmes posés par la théorie du jugement de Russell dans la théorie de l'image et qu'il a longuement hésite dans lesCarnetsentre des versions de la theorie de l'image en accord avec la position de Russell et des versions en accord avec celle de Meinong. Enfin, je soutiens qu'il a finalement tranché la question dans leTractatusen optant pour une théorie du type de celle privilégiée par Meinong.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.021 |
| Scholarly communication | 0.005 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| 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".