Stratégies éditoriales dans les éditions des Arrêts d’Amours de Martial d’Auvergne publiées au XVI siècle : quand l’imprimeur-libraire choisit son public
Bibliographic record
Abstract
An absolute success in bookshops during the sixteenth century, Martial d’Auvergne’s Arrêts d’Amours saw thirty-one editions printed between 1500 and 1597. Far from being homogenous, this production shows a great deal of typographical and textual variance with each successive publication. Printer-booksellers actually appropriated the work and, integrating it into their editorial politics, adapted it to their own editorial context and, in turn, to their public. By analyzing the editorial discourse of Arrêts d’Amours’ first three editorial periods, this article intends to highlight, sometimes in contemporaneous periods, the tensions existing around this work and its orientation toward different reading publics, at times large and “mainstream,” at others more limited and specialized.
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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.014 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".