Bibliographic record
Abstract
Afin de mettre au jour l’être-image ou le caractère relationnel des images argentique et numérique, l’auteure reproblématise un ensemble de réflexions proposées par André Bazin (sur l’ontologie) et Roland Barthes (à propos du punctum). Elle suppose que les images numériques ont contribué au dévoilement de la-réalité-des-images. Ayant trait à la perception et à la pensée, les images numériques, de même que les images argentiques, ne manquent pas d’être soumises à des ouvragements et à des transformations. Perception, pensée, ouvragement et transformation satisfont la-réalité-des-images ou participent de leur ontologie.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
Philosophical essay on the ontology and aesthetics of digital versus analogue images; the object is image theory.
The article develops a theory of photographic and digital images rather than studying research.
Aesthetic/ontological essay on digital and silver-based images; art theory, not research practice.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.024 |
| Scholarly communication | 0.008 | 0.016 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.014 | 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".