"<i>Un chant à l'honneur de la France</i>": Women's Voices at the End of the Republic of Siena
Bibliographic record
Abstract
Au cœur du XVIe siècle, alors que la république de Sienne était menacée par les intérêts expansionnistes du duc Côme Ier de Florence, plusieurs femmes se portèrent à la défense de leur ville. Quelques-unes écrivirent et firent circuler des poèmes pleins de passion, d’autres retroussèrent leurs manches et contribuèrent à renforcer les murs de la ville, geste qui fut rapporté par Blaise de Monluc dans ses Mémoires. L’article qui suit rappelle brièvement l’épisode du bastion rebâti grâce aux efforts des femmes siennoises, puis analyse deux échantillons de poèmes composés en faveur de l’intervention française contre les Espagnols par deux poétesses siennoises, Virginia Martini Salvi et Aurelia Petrucci.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".