L’énonciation problématisante : en dialogue avec Le Royaume d’Emmanuel Carrère
Bibliographic record
Abstract
Cet article aborde la question de la polyphonie et du dialogisme à partir du prisme des relations entre voix et points de vue, qui reposent en premier lieu sur la distinction entre le locuteur, source de la voix, et l’énonciateur, source des points de vue. Dans un deuxième temps, plutôt que d’envisager ces relations sous l’angle d’une sorte de guerre des voix et des points de vue, l’article propose une étude de ces hybridations toute pacifique, dans le cadre de relations empathiques, caractéristiques du roman d’Emmanuel Carrère Le Royaume. Il met notamment l’accent sur la multiplication et la complémentarité des perspectives pour penser le complexe. Enfin, dans un troisième temps, l’article montre comment, à partir de la notion d’énonciation problématisante, il est possible de confronter et d’articuler des vérités partielles sans céder au relativisme ni au sectarisme, et sans minorer le rôle des valeurs.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".