L'invention rhétorique dans la <i>Rhetorique françoise faicte particulierement pour le roy Henri III</i> de Germain Forget
Bibliographic record
Abstract
This article examines the place given to the part of rhetoric known as "invention" in the Rhetorique françoise faicte particulierement pour le roy Henry III, a treatise which has been attributed to the jurist Germain Forget. First, this study underlines the relative importance, in Forget's treatise, of this category which traditionally occupies the first place in the ordered disposition of ancient rhetorical treatises. In comparison, reference is made to two other contemporary treatises. Then, second, the analysis shows that the author favours a general idea of invention setting it apart from the technical considerations pertaining to specific theories of "causes". Finally, the third part of the study proposes the hypothesis that this general idea of invention, inspired by Quintilian, bears the stamp of contemporary Humanism, in particular that of the adherents, in the tradition of Erasmus and Politian, to the theory commonly known as "innutrition". At a time when the last of the Valois kings ardently wished to become a father, even commanding that public prayers be recited to this effect, the theory of rhetorical invention rests, perhaps appropriately, on humanist ideas concerning pedagogy.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.013 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".