Bibliographic record
Abstract
During the French Fronde of 1648-52, the absolute monarchy of France came under attack both by weapons and by words. A relaxation in censorship laws during the four-year period of unrest led to the production of thousands of pamphlets, known as Mazarinades, which discussed the nature of the French monarchy and of power. Although most focussed on the Prime Minister, Cardinal Mazarin, a subset also considered the role of the Queen Dowager and Regent, Anne of Austria. Factions both for and against the monarchy expressed a fear of her public role in government: as a female ruler, they worried that Anne would be too passionate and gullible to be able to govern fairly. Pamphleteers presented her as a disordering figure, one who turned the natural social hierarchies of the early modern era upside down. To some, she was a puppet for Mazarin, who they believed seduced her; to others, by acting as regent she neglected her quintessentially feminine maternal roles. All agreed that Anne was unsuitable as regent. Using a variety of literary techniques, Mazarinade authors ultimately demanded that she resign, pleading with Anne to return to the private, domestic world of women.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.154 | 0.036 |
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".