Processualités des œuvres numériques : Entre génétique et performativité composée des œuvres à travers le temps
Bibliographic record
Abstract
This article focuses on the study of digital literary works, whose existence no longer needs to be demonstrated. If these works have often been examined by their poetic characteristics (multimodal dimension, interactivity, etc.), the understanding of their immediate anchorage in their context (technological and sociodiscursive) remains to be perfected. It is a study of the materiality of the digital works that this article proposes, allowing to seize them in their processual nature under two angles: the upstream and the downstream of the work. The attention paid to the genetics of digital literary works leads to attesting to the difficulties posed by writing in a digital context, which is hidden behind often opaque systems. The study of the performativity of works, on the other hand, allows us to situate them in their environment and to better observe their dependence on the contexts in which they are read. The understanding of digital literary practices is thus enhanced, as the works are perceived differently than by their immanent characteristics.
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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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".