Nursing: A Stepping Stone to Future Careers
Bibliographic record
Abstract
Objective: To identify the range of positions to which registered nurses moved when they left the profession and to explore the perceptions of respondents about the skills and experiences gained from performing nursing work. Background Data: Many nurses do not remain employed in nursing positions for the duration of their working life. This pattern of career change has been seen in many countries, including Australia, the United Kingdom, the United States, and Canada. Methods: A mailed questionnaire was completed by respondents who had left nursing. This questionnaire covered demographic information, the industry and role in which respondents were currently working, ease of adjustment to the current industry and role, perceptions of the skills they had gained from nursing, reasons for becoming a nurse, and reasons they left nursing. Results: Many respondents moved to management positions outside the health industry, and most undertook additional study after leaving nursing. In addition, few identified difficulties in adapting to non-nursing employment, and most agreed that their nursing skills and experiences had assisted them in attaining these positions. Conclusions: The findings are reassuring that employment as a nurse provides invaluable skills for a range of employment prospects should an individual wish to change careers.
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How this classification was reachedexpand
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".