Les objets en peinture : un exemple d’interobjectivité « matrimoniale »
Bibliographic record
Abstract
Dans la peinture figurative, les objets perdent leur caractère de singularité pour assumer entre eux des relations de solidarité et de cohérence isotopique interobjective. L’analyse du diptyque de G. Metsu, Homme en train d’écrire une lettre et Dame en train de lire une lettre (1664), confirme cette hypothèse : les objets qui meublent les deux scènes concourent à produire un seul effet de sens. Dans le tableau consacré à la figure masculine, l’organisation des relations plastiques entre objets permet de déchiffrer le contenu de la lettre ; dans l’autre tableau, les objets servent à traduire les effets passionnels produits sur la jeune femme par l’arrivée de la lettre de son bien-aimé. Chaque objet de ce diptyque, même ceux de petite taille comme le dé, est renforcé par la mise en scène d’autres objets.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".