Reconceiving Victorian Pregnancy and Childbirth: A Case Study of Ellen Wood's <i>East Lynne</i> and <i>Lord Oakburn's Daughters</i>
Bibliographic record
Abstract
Focusing on East Lynne (1860–61) and Lord Oakburn's Daughters (1864) and referring to Victorian advice manuals for pregnant women, this article argues that Ellen Wood centered pregnancy and childbirth as critical experiences of women's lives. In East Lynne, Isabel gives birth to her first child in a difficult labor that nearly kills her; her future adultery originates in the lying-in room; and the final section heightens Isabel's torture as she witnesses Barbara's second pregnancy. Lord Oakburn's Daughters reuses elements of East Lynne while intensifying its focus on pregnancy, postpartum vulnerability, and lying in. The novel opens with an explicit childbirth scene; its murder plot is set in the lying-in room; and its central metonym, a locket, stands for women's bonds established during childbirth. While pregnancy and childbirth are thought to have remained largely unrepresented in Victorian fiction, both novels use contemporary vocabulary and codes to represent these experiences. Moreover, Wood created her particular brand of gestational sensation by featuring women in white as figures of maternal loss, longing, and postpartum trauma. Studying these novels thus not only provides evidence of how Wood represented pregnancy, childbirth, and maternal feeling but also models a narratological method for analyzing such representations in mid-Victorian fiction generally.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.028 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.004 | 0.008 |
| 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".