The social context of career choice among millennial nurses: implications for interprofessional practice
Bibliographic record
Abstract
Health human resource and workforce planning is a global priority. Given the critical nursing shortage, and the fact that nurses are the largest group of healthcare providers, health workforce planning must focus on strategies to enhance both recruitment and retention of nurses. Understanding early socialization to career choice can provide insight into professional perceptions and expectations that have implications for recruitment, retention and interprofessional collaboration. This interpretive narrative inquiry utilized Polkinghorne's theory of narrative emplotment to understand the career choice experiences of 12 millennial nurses (born between 1980 and 2000) in Eastern Canada. Participants were interviewed twice, face-to-face, 4 to 6 weeks apart prior to commencing their nursing program. The narratives present career choice as a complex consideration of social positioning. The findings provide insight into how nursing is perceived to be positioned in relation to medicine and how the participants struggled to locate themselves within this social hierarchy. Implications of this research highlight the need to ensure that recruitment messaging and organizational policies promote interprofessional collaboration from the onset of choosing a career in the health professions. Early professional socialization strategies during recruitment and education can enhance future collaboration between the health professions.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".