Bibliographic record
Abstract
Dans le domaine culturel, peu de philosophes ont eu droit à une aussi grande popularité que Ludwig Wittgenstein. Ses travaux en philosophie du langage n’ont pas manqué d’inspirer artistes visuels, poètes et musiciens; sa figure, quant à elle, n’a cessé de fasciner cinéastes, romanciers et biographes. Rien qu’en littérature, on compte à présent plus d’une quinzaine d’oeuvres romanesques dans lesquelles le philosophe est mis en scène : c’est dire à quel point sa vie et son oeuvre offrent matière à fiction. Dans le présent article, l’auteure entend analyser trois de ces ouvrages : La maîtresse de Wittgenstein de David Markson (1989), Le désarroi de l’élève Wittgenstein d’Antoine Billot (2003) et Une enquête philosophique de Philip Kerr (1992).
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".