Bibliographic record
Abstract
La numérisation des images ainsi que l’emploi du numérique pour la création ouvrent de nouvelles possibilités, non seulement pour le stockage du patrimoine culturel, mais également pour la production et la diffusion visuelles, en interaction, bien sûr, avec les autres médiums. Cependant, ces moyens technologiques imposent leurs contraintes et ne recouvrent pas tout à fait les possibilités des moyens plus traditionnels. Au lieu de concevoir ces aspects comme des limites, certains artistes s’interrogent sur la spécificité des nouveaux outils (appareil photo et caméra numériques, numériseur, etc.) et exploitent leurs défaillances comme matière pour leurs expérimentations. En illustrant par des oeuvres récentes déjà renommées ainsi que par des recherches plus jeunes, nous voudrions offrir une réflexion sur l’apport novateur des images numériques qui poursuivent et relancent l’héritage imagier dans lequel elles puisent.
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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.012 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".