Bibliographic record
Abstract
Interrogeant l'illustration paralittéraire (couvertures illustrées, bande dessinées) en regard de la Littérature, nous opposons à celle-ci le concept d'« illitérature ». Le néologisme vient de la sentence, « Pictura illiterato litteratura » d'Alcuin (VIIIe siècle) argument pour la sauvegarde des fresques dans les églises. L'illitérature renvoie moins à l'idée d'une littérature par absence qu'à celle d'une littérature dont l'accès est favorisé par l'image. Résonnance dans le terme même avec la dimension pragmatique de l'acte illocutoire ; une prévalence de l'illocutoire comme intention manifestée serait-elle un trait distinctif de la paralittérature ? L'image en hérite, au moins depuis la Renaissance; tout comme le dispositif paralittéraire (sérialité, récurrence des fabulae, hybridité sémiotique), elle simplifie la tâche du lecteur; l'importance accordée à ce dernier complète la convergence.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".