Understanding Turnover as a Lifecycle Process: The Case of Young Nurses
Why this work is in the frame
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Bibliographic record
Abstract
Based on the life course perspective and the sociology of individuation, this article aims to examine the temporal processes at work in the decision of nurses to leave their jobs and the role played by different life contexts in guiding this decision. A qualitative study was conducted with nurses in order to gain an in-depth understanding of the reasons why so many young nurses decide to leave their jobs. The theoretical perspective used focuses on the importance of considering the interaction between the different spheres of a person’s life, the social environment in which they live and the work-related decisions they make. We conducted life-narrative interviews during which the nurses were asked about their overall work trajectory and the events in their work, personal, family, and social lives which, in their opinion, contributed to their decision to leave their jobs. A total of 26 nurses under the age of 35 were interviewed. The data analysis helped to identify several job-leaving pathways structured around three main dimensions: 1- the temporal aspects of the job-leaving pathways (short or long term); 2- the nurses’ subjective work experience; and 3- the stage in the nurses’ work lives or personal lives in which they found themselves when they made the decision. The findings reveal that the nurses’ decision to leave their jobs represents a complex process that developed over a short or longer period of time and involved various dimensions of their lives. Our analysis brought out two sources of tension underlying the nurses’ decision to leave their jobs: 1- a gap between their expectations regarding the possibilities for self-realization in their jobs and the concrete realities of work; and 2- a job situation that limited the possibilities to self-realize in other spheres of their lives.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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