Addressing the turnover issue among new nurses from a generational viewpoint
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
AIM: To investigate the relationship between dimensions of the psychosocial work environment and the intent to quit among a new generation of nurses. BACKGROUND: As a new generation of nurses enters the workforce, we know little about their perception of their current work environment and its impact on their intent to stay. METHOD: A self-administered questionnaire was distributed to 1002 nurses. RESULTS: The nurses who intended to quit their positions perceived a significant effort/reward imbalance as well as a lack of social support. The nurses who intended to quit the profession perceived a significant effort/reward imbalance, high psychological demands and elevated job strain. CONCLUSION: The balance between the level of effort expended and reward received plays an important role in young nurses' intent to leave. IMPLICATIONS FOR NURSING MANAGERS: Nurse Managers must offer Nexters, from the beginning of their career, a meaningful work and supportive environment. Without the efforts of the organization to improve the work environment and support nurses, this generation may not feel valued and move to another organization that will support them or another career that will offer fulfilment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 it