Sutures sémiotiques : une double articulation au service de la diversité des rapports interprétatifs
Bibliographic record
Abstract
C’est au contact de la pensée du philosophe et sémioticien belge Herman Parret que nous est venue l’idée de bâtir le présent numéro du Cygne noir autour du thème des sutures sémiotiques, reprenant à notre compte le titre et le thème de son ouvrage paru en 2006. Le concept de suture enserre la possibilité d’un effacement du discontinu, sans que ne disparaisse pour autant la différence, qui reste observable dans la ligature opérée. Deux niveaux de sutures nous ont paru devoir être envisagés. Le premier concerne la relation des choses aux mots, et des mots aux discours. La double articulation du langage symbolique nous paraît former un terreau riche pour penser les fondements suturaux des systèmes sémiotiques complexes. Le second niveau sutural envisagé est épistémologique et s’insère dans une réflexion disciplinaire.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.028 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".