A Process of Becoming: The Stages of New Nursing Graduate Professional Role Transition
Bibliographic record
Abstract
Newly graduated nurses are entering the work force and finding that they have neither the practice expertise nor the confidence to navigate what has become a highly dynamic and intense clinical environment burdened by escalating levels of patient acuity and nursing workload. This research used qualitative methods to build on and mature aspects of the new nurse's transition experience into acute care. The theory of transition presented in this article incorporates a journey of becoming where new nursing graduates progressed through the stages of doing, being, and knowing. The whole of this journey encompassed ordered processes that included anticipating, learning, performing, concealing, adjusting, questioning, revealing, separating, rediscovering, exploring, and engaging. Although this journey was by no means linear or prescriptive nor always strictly progressive, it was evolutionary and ultimately transformative for all participants. The intense and dynamic transition experience for these newly graduated nurses should inspire educational and service institutions to provide preparatory education on transition as well as extended, sequential, and structured orientation and mentoring programs that bridge senior students' expectations of professional work life with the reality of employment.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 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".