« Ãcrire, câest bien sâinscrire dans le monde » : une lecture dâArt poétique dâEugène Guillevic
Bibliographic record
Abstract
Ce mémoire propose une lecture du recueil Art poétique d’Eugène Guillevic. Art poétique parait non seulement comme un livre où se développe la recherche patiente d’un principe directeur, mais aussi comme « l’autoportrait d’un poète qui continue de s’interroger et d’interroger le monde » . Le poète a résumé cette double interrogation dans l’expression suivante : « Écrire, c’est bien s’inscrire dans le monde » . \nCette formule inspire notre réflexion sur le recueil et nous amène à avancer l’hypothèse suivante : la reprise du genre de l’art poétique par Guillevic s’accorde paradoxalement avec sa recherche d’une expression subjective et singulière. Au cours de ce mémoire, nous allons examiner les relations que le sujet guillevicien entretient avec l’espace et le temps. Nous allons chercher notre appui dans la théorie du discours, telle que la décrit Émile Benveniste.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".