Saint Antoine exposé. Représenter la tentation : questionnements et enjeux. Lecture de représentations iconographiques de la tentation de saint Antoine aux XV e et XVI e siècles
Bibliographic record
Abstract
À partir d’un corpus d’une trentaine de représentations picturales de la tentation de saint Antoine le Grand réalisées aux xv e et xvi e siècles, cet article étudie la manière dont l’art peut offrir une expérience de la tentation, c’est-à-dire la manière dont une œuvre parvient à rendre compte d’une réalité irreprésentable (soit d’un moment de bascule potentielle entre le bien et le mal). Il envisage la réflexion suscitée par ces œuvres sur la condition humaine, sur le rapport au mal, au corps, et surtout sur le pouvoir de l’art, comme si le tableau mettait en péril son principe même : quelle est la source des images ? Qui tente qui ?
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".