Bodies Matter: Men, Masculinity, and the Gendered Division of Labour in Nursing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background: Biological differences between the bodies of men and women play a major role in determining the type of work performed by them and they therefore contribute to the social construction of some kinds of work as more masculine than others. Within the numerically female‐dominated profession of nursing, the experiences of men provide insight into the ways men's bodies and notions of masculinity have contributed to a gendered division of labour. Purpose: This paper examines the experience of men in nursing and the roles men nurses expect and are expected to assume by virtue of being men. Findings: Data from interviews with eight men nurses registered in Nova Scotia, Canada reveal that roles such as ‘he‐man’ and enforcer create complex situations of advantage and disadvantage for men nurses. On the one hand, they affirm masculinity and men's special contribution to nursing. On the other hand, they generate extra work, compromise men nurses’ relationships with women nurses and women patients, and project an image of men as uncaring. Even more problematic, the ‘he‐man’ and enforcer roles may construct an additional role of ‘failed caregiver’. The experience of men in numerically female‐dominated occupations such as nursing points to the need to recognize the extent to which bodily qualities, abilities and practices have come to be seen as masculine or feminine. An additional challenge is to understand how this association manifests itself as a gendered division of labour that negatively impacts the work lives of men and women alike.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it