Despite the Barriers Men Nurses are Satisfied with Career Choices
Bibliographic record
Abstract
Men remain a minority in the nursing profession. In 2005, 5.6 per cent of the nurses in Canada were men (Canadian Nurses Association [CNA], 2005); while in the United States (U.S.) men comprise about 5.8 per cent of the registered nurses (U. S. Department of Health and Human Services Health Resources and Services Administration [HRSA], 2004). Although the basis for this gender imbalance has been discussed in the literature, there is a paucity of data regarding reasons why men choose nursing as a career, perceived barriers experienced in practice, and factors associated with career satisfaction. A descriptive design was used by the researchers to examine these questions among a group of male registered nurses (N = 250) in one Canadian province. Knowledge about reasons why men choose nursing, the barriers they experience in practice, and information about factors that impact career satisfaction may help to attract men into the nursing profession, and aid development of recruitment and retention strategies.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".