Bibliographic record
Abstract
Women in North America have many childbirth options. However, they must make these choices within a complex culture of birthing discourse characterized by competing knowledges and claims regarding the “ideal birth” as medicalized, natural, or woman centered. We interviewed 21 childless women and 22 new mothers to explore their perceptions of choice and birthing. The women’s interviews indicated that their birthing choices are reflective of tensions embedded in normative femininity; conflicting ideas relating to purity, dignity, and the messiness of birth; and contradictions about women’s bodies as heteronormative sites of pleasure and sexuality on one hand and of asexual, selfless sources of maternal nurturance on the other. Finally, the women’s views reflected understandings of moral and normative constructs about selflessness as a core attribute of femininity and motherhood, particularly in terms of enduring pain as the “proper” means of accomplishing the rite of passage to motherhood. Although all the women described tensions between femininity and motherhood, childless women were more likely than mothers to be worried about achieving ideal, heteronormative sexuality and femininity. Likewise, women who have not yet had children and women who have experienced unplanned C-sections were more likely than those who experienced vaginal births to express that C-section births fail to fully accomplish women’s rite of passage to motherhood.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".