Delvallée, Ellen. Poétiques de la filiation. Clément Marot et ses maîtres : Jean Marot, Jean Lemaire et Guillaume Cretin
Bibliographic record
Abstract
Described by the author as "ni reproduction à l'identique, ni révolution radicale" (13), the model of poetic influence in the verse of Clément Marot (1496-1544) posited by Ellen Delvallée in this volume is filial in nature.A product of nourishment, training, and imitation, received firsthand from benevolent masters before ultimately giving way to a developing individual, natural voice, Delvallée's familial concept is more genealogical in approach, insisting on virtual human kinship rather than contemporary translatio studii metaphors of grafting foreign sapling branches to a native trunk or of carefully replicating the bee ensconced in the amber of antiquity from the famous Martial epigram.Eschewing such figurative flora and fauna allegories, Delvallée's wholly original study is likewise devoid of the theories of Freudian anxiety or building on the shoulders of distant giants, which loomed large in recent decades.Indeed, her Poétiques de la filiation insists on proximity, mentoring, nurturing, and refinement in the creation of the Marotic aesthetic that has so frequently been characterized as a clean break from a recalcitrant medieval past and/or announcing a modern trajectory for the future without a clear justification of such.Early into the work, Delvallée recognizes the significant scope of the study she was undertaking.With a nod to several articles and book chapters from the past fifty years that speak to individual poems or appeal to focused examples of influence (23-24), Delvallée proposes a far more exhaustive examination of the complete poetic corpuses of Clément Marot and his chief "maîtres": father Jean Marot, Jean Lemaire de Belges, and Guillaume Cretin.In the end, examining circumstantial verse from each poet beneath the lens of rhetoric, she was able to convincingly make her case for proximal imitatio over a substantial 898 pages of analysis.Indeed, the three sections into which Delvallée divides her book, each composed of several chapters and totaling roughly 250 pages, could well stand individually as a book of its own.The first of these, treating funerary lamentations (la déploration funèbre) was well-chosen by Delvallée in that death was a constant in the Renaissance and one of the chief functions of a courtly poet,
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
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".