“Modern neurotic women” and the pains of childbirth: staging medicalized maternity in Sophie Treadwell’s <i>Machinal</i>
Bibliographic record
Abstract
This article positions Sophie Treadwell’s depiction of maternity and hospital-based childbirth in Machinal (1928) as a crucial though underexplored dimension of the expressionistic play’s feminist social critique. Our argument focuses on the fourth of nine episodes, “Maternal,” and reads the protagonist’s traumatic postpartum experience alongside and in the context of contemporary media, medical, and literary publications that articulate emerging concerns about childbirth, maternity, and obstetric care. We illustrate how characters’ responses to the Young Woman’s intense distress resonate with a prevalent medical trend to either dismiss women’s anxieties about the risks and pain associated with childbirth or diagnose them as symptoms of modern women’s “weakness” or “nervous exhaustion.” Treadwell stages an argument that at once affirms the legitimacy of women’s potential fears and challenges the notion of mental-uplift as a panacea for maternal anxiety. Furthermore, through the scene’s medical figures and sonic backdrop, she presents a scathing portrait of institutionalized obstetric care. This scene reinforces the broader critique of modern, patriarchal hierarchies and their embeddedness in technological discourses that runs throughout Machinal. The postpartum scenario offers a unique vantage point to expose how intimate and institutional structures combine in ways both physically and psychologically damaging to women.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.009 | 0.020 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".