Éléments pour une poétique historique de recueils : un cas ancien singulier, la Comparaison de Desmarets
Bibliographic record
Abstract
On peut distinguer des " recueils collectifs " et des " recueils individuels ", et encore des recueils " unigénériques " et des " polygénériques ". En envisageant un exemple des premières réalisations de ce type d'ouvrage en France, avec Desmarets de Saint-Sorlin et sa Comparaison de la langue et de la poésie française avec la grecque et la latine (1670), on peut aussi voir ce que ces distinctions, et nos habitudes de pensée actuelles, ont d'aléatoire. Desmarets mêle en effet ses écrits et ceux d'autres auteurs, l'essai, la critique et la poésie en un seul et même ouvrage, à vocation polémique. Il révèle donc combien ce " genre " est élastique, et ses usages indéfiniment ouverts.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".