« Dans les marges du cahier de textes ». Quelques aspects de l'autoréflexivité dans l'écriture guibertienne
Bibliographic record
Abstract
Faisant de lui-même le personnage principal de son œuvre, Hervé Guibert nous parle nécessairement de son travail d'écrivain. À travers ses récits, il dessine l'image d'un écrivain polymorphe, qui prend une double attitude par rapport à son métier. Si, d'un côté, l'acte de l'écriture et les manuscrits sont montrés, de l'autre, il ne cesse d'accuser sa retenue et à manifester une sorte de pudeur. À la recherche d'une identité scripturaire, l'auteur tend à assimiler ses manuscrits à son corps, à sa fibre, dans un projet global de dévoilement de soi.AbstractBeing the main character of his own books, Hervé Guibert writes about his life as a writer. Through his texts he draws his portrait as a polymorphous artist, taking a double attitude towards his activity. On the one hand the act of writing, as well as drafts and manuscripts are shown, but on the other hand he constantly tries to protect and conceal them from sight. Looking for his own scriptural identity, the author tends to identify his manuscripts with his body, so that papers, drafts, manuscripts come to acquire a strong corporeal dimension in a wider project of representation of the self.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.024 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".