I Have Never Felt so Novice: Using Narrative Reflection to Explore the Transition from Expert RN to Novice NP Student
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
<p>Aim: To explore the experiences of nurse practitioner students moving from expert registered nurses to novice nurse practitioner program students. </p> <p>Background: Moving from registered nurse to nurse practitioner can be a time filled with mixed emotions, lack of confidence, adaptation, and competency development. Learning about and navigating the advanced practice nursing role can be challenging. Students in the nurse practitioner program are encouraged to engage in regular reflective writing to foster role development and learning. This paper aims to reflectively explore the experiences of transition from registered nurse to nurse practitioner student. </p> <p>Methods: Inspired by Benner’s Novice to Expert Theory and Carper’s ways of knowing, the authors personally reflected on their transition experiences during NP schooling and then collectively developed a composite reflection of the shared experience. From this exercise common themes were identified. </p> <p>Conclusion: This unique reflective paper identified common themes in the experience of transitioning to the student role. Potential areas for future research-based exploration of the nurse practitioner student experience were identified. By understanding these experiences, students can be better prepared in advance and faculty can design both formal and informal support measures to better support the student experience. </p>
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 | 0.001 | 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 | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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