Contradictions and Tensions: Exploring Relations of Masculinities in the Numerically Female-Dominated Nursing Profession
Bibliographic record
Abstract
The feminization of nursing constitutes a significant barrier to men choosing to enter nursing, and in part accounts for the low numbers of men in the profession. Men who choose non-traditional occupations such as nursing are at greater risk than their women counterparts of being unsupported, devalued, and even ridiculed for engaging in gender-inappropriate behavior. For the small number of men who defy prevailing gender norms by engaging in this work, the perception of a spoiled masculinity reflects the gendered and sexed relations within the profession. Men nurses are faced with the reality of defending their career choice, their contribution to nursing, and their sexuality. As a consequence, men who do nursing work are continually reminded that they are different from other men. The experience of eight men registered nurses in Nova Scotia, Canada, reveals the tensions and contradictions of men's lives in a non-traditional occupation.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.022 | 0.034 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.002 | 0.009 |
| 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".