Bibliographic record
Abstract
Grand amateur de romans russes dans les années 1920, Bataille a lu avec attention deux des intercesseurs de Dostoïevski en France, Thibaudet et Gide. Le premier, qui dessine aussi des chemins possibles pour l’entreprise littéraire de Bataille, met l’accent sur la problématique du parricide — et la profanation des figures parentales sera constante dans les romans de Bataille. Le second insiste sur l’opacité des personnages, leurs excès, sur un certain penchant vers « l’informe », et sur le récit intitulé L’esprit souterrain (ou Le sous-sol ) : autant de points que retiendra Bataille. Mais comptera surtout pour lui la lecture que donne Chestov, dans Les révélations de la mort , en 1923, du Sous-sol , et l’analyse qu’il fait de l’homme souterrain : de cette analyse, « Dirty » sera à la fois une mise en récit et une mise en excès.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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; both teacher heads agree on what is shown here.
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".