From ‘a piece of grossness’ to ‘minute particularity’: Queen Victoria’s First Pregnancy in the British Press
Bibliographic record
Abstract
Abstract It is a truism that Victorians were prudish about pregnant bodies. Interrogating this assumption, this paper provides a case study of one of the century’s most public pregnancies: that of Queen Victoria with her first child. It tracks press speculations about and discussions of Victoria’s pregnancy from weeks after her 10 February 1840 marriage to Princess Victoria’s 21 November birth. During this period, Victoria’s body was subject to relentless press scrutiny, ranging from speculations about possible pregnancy shortly after marriage to comments about her sex life with Albert. In summer 1840, concern shifted to possible miscarriage after an unsuccessful assassination attempt and the need for a regency if she died in childbirth. Finally, Princess Victoria’s birth prompted surprisingly detailed descriptions of Victoria’s labour and delivery as well as speculations about when the child was conceived. Victorian periodicals demonstrated awareness of their own coverage, accusing other papers of ‘grossness’ and objecting to the ‘minute particularity’ of accounts of her labour. Repeatedly invoking delicacy even as they detailed Victoria’s body, the national press captures the stakes of writing about the queen’s ‘interesting condition’. Clearly, it was not impossible for Victorians to speak about pregnancy.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.019 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".