Bibliographic record
Abstract
Cet article, en s’arretant sur Je suis un ecrivain japonais, presente d’abord la posture developpee par Olivier Cadiot et Pierre Alferi dans les deux seuls numeros de leur Revue de litterature generale pour montrer comment l’usage thematique de la poesie dans Je suis un ecrivain japonais partage leur objectif de decloisonner les genres au profit d’une occupation de l’ecriture. Cet article expose ensuite la maniere dont le roman de Laferriere defait l’eternelle opposition entre theorie et desir en construisant une « experience de pensee » qui produit des correspondances entre le passe et le present, la poesie et le roman, le Japon et Haiti. Troisiemement, en observant le travail a la fois litteral et metaphorique que le roman fait du cliche, cette etude propose une critique de la notion d’originalite, avant d’observer, en conclusion, les strategies d’eloignement de soi utilisees par Laferriere pour reactiver le vieux projet avant-gardiste de reconcilier l’art et la vie.
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 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.021 | 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".