Agrippa d’Aubigné et la contraction des sonnets. Les sonnets en vers lyriques dans “L’Hécatombe à Diane”
Bibliographic record
Abstract
This article studies the sonnets of Agrippa d’Aubigné written in short verses (heptasyllables and octosyllables). In L’Hécatombe, the number of sonnets in lyric verse (generally reserved for odes and odelettes) amounts to ten and constitutes ten percent of the whole. This number invites us to reflect on their internal structures and the relationships they have with the regular sonnets that surround them. The article traces the origins of the sonnet of short verses until the beginning of the 17th century, then analyses the formal aspects of those of d’Aubigné, and finally measures the effect produced by the insertion of these short pieces within a collection where sonnets of long verses dominate. We thus see that the poet sought to extend his prosodic research as far as possible in order to give the forms a varietas which leads to their distortion.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.007 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".