“A part of being a woman, really”: Menopause at work as “dirty” femininity
Bibliographic record
Abstract
Abstract This research extends understandings of women's lived experiences of menopause at work, as embodied complex gendered aging. Menopause as a type of “dirty” femininity and femme performance is theorized to elucidate both the stigmatizing effects of menopause at work and the opportunity to reclaim femininity in‐and‐for itself. This theory is illustrated through the accounts of women experiencing menopause at work. Menopause at work is problematized, pathologized, and “dirty” as an embodied experience that is physically, emotionally, morally, and socially tainted. As “dirty” femininity, menopause represents both material “dirt” (leaky bodies) and symbolic “dirt” (no longer leaky and no longer fertile), thereby eroding women's ability to perform patriarchal hegemonic femininity. Small pockets of resistance are also observed as some of these women engage in femme performances in defiance of hegemonic masculinity. The article offers avenues for future research in shame, taint management, women in leadership, and intersectionality to extend the conceptual and empirical contributions on menopause at work.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.024 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".