Entre espaces de création et réseaux de production: l'imagination inventive de Francesco Salviati (1510-1563)
Bibliographic record
Abstract
This dissertation focuses on the Florentine artist Francesco Salviati (1510–1563) with an aim to better understand the characteristics of his work. An analysis of the artist's production reveals that it is punctuated by a variety of projects, encompassing a wide range of media and format or scale. His oeuvre includes fresco paintings and altarpieces as well as drawings for prints and decorative arts. The question is whether Salviati advocated a specific approach: did he work in isolation, or did he collaborate with artists who specialized in art forms that were unfamiliar to him? His versatility clearly suggests that he was inspired by opportunities to collaborate with a variety of artists such as engravers, weavers or printers whom he met in his travels. By continually challenging the technical limits and formal surfaces – small or large scale – upon which he worked, Salviati made the expressive potential of an object a priority. This paper investigates the myriad techniques and new modes of expression the artist used, as well as the many works he created, to examine how his diverse body of work positions him, if not distinguishes him, within the broader artistic network of the day. In a broader context, this study invites us to reconsider the arbitrary character of stylistic categories that art history continues to impose today, and to re-examine what we expect artists associated with such movements to produce.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| 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 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".