La conception néosaussurienne du signe et de la sémiosis et l’analyse des images
Bibliographic record
Abstract
Résumé Cet article se propose d’envisager le signe iconique à l’aune du modèle néosaussurien du signe et de la sémiosis qui se dégage des Écrits de linguistique générale . Après avoir exposé ce modèle à partir des propositions que François Rastier tire des textes autographes de Saussure, cette contribution transpose le cadre à la description du signe iconique, en réinterrogeant certains éléments de la conceptualisation que donne le Groupe µ de ce type d’énoncé visuel. Une brève analyse de la toile Le retour à la nature de Magritte permet d’illustrer et de valider la transposition théorique du modèle néosaussurien du signe et de la sémiosis. Cette démarche ouvre la possibilité de procéder à l’interprétation des images selon la théorie morphosémiotique développée par la sémantique de Rastier.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".