A Duchess “given to contemplation”: The Education of Margaret Cavendish
Bibliographic record
Abstract
Abstract Margaret Cavendish was an unusually public figure in early modern England. She published widely under her own name on several secular subjects, including natural philosophy, inequality of the sexes, and educational theory. This article explores the development of Cavendish's educational theories through a detailed account of her life, which took place in three discrete stages. First, it examines her youth, when she was informally educated by family members and private tutors. It then follows her education as she traveled to Europe with her embattled queen and met her husband, William Cavendish. And finally, it shows that with William's support and patronage, Cavendish returned to England at the Restoration as a confident and mature female author. In doing so, this article addresses questions related to Cavendish's pedagogical beliefs, why those beliefs sometimes differed from her own experiences, and how she communicated these ideas through her literature.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.023 | 0.024 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".