Guillemets et crochets : de l’influence de la syntaxe et de la grammaire des langages de code sur une poétique de la page
Bibliographic record
Abstract
Cet article étudie la traduction de textes à l’aune des contextes culturels et linguistiques, du lectorat, universitaire et grand public et des formes : imprimées, numériques et performées. Il s’intéresse en premier lieu aux questions de ponctuation qui surviennent lorsque l’on traduit des textes poétiques numériques en formats imprimés, et en particulier aux parenthèses et aux guillemets. S’appuyant sur une série de conférences, cet article, dans sa version actuelle de publication en ligne, mène une exploration continue du mouvement de la langue à travers, au-delà et entre les espaces. L’idée d’« entre » est considérée ici comme un troisième temps/espace/état, une texture, un événement, un déploiement palpable empreint de cacophonie, de liminalité, d’atemporalité et d’échanges asynchrones. Conformément à son sujet transitoire, cet article alterne entre les modes lyrique et analytique.
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 | 0.003 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".