Role transition among baccalaureate nursing students at Umm Al Qura University
Bibliographic record
Abstract
Background: Role transition involves concerted efforts to optimize the transformation of the nursing students into practice nurses with an outstanding experience. Nursing students have different expectations and perceptions towards the role transition process. Graduate nurses lack the competence and sufficient preparation for the ever-changing professional nursing practice. The study purposed to assess the role transition of baccalaureate nursing students from the Umm Al Qura University.Methods: A cross-sectional study design was used to gather insights from a simple random sample (n = 102) of baccalaureate nursing students from Umm Al Qura University. Data were collected using an electronic self-administered questionnaire from year four and interns nursing students at Umm Al Qura University.Results: Results indicate that baccalaureate nursing students define role transition as role preparation, role competence, support, and organization. The three elements reveal different personal and organizational factors contributing to the assumption of new roles as registered nurses. Role preparation entails the provision of course content, management skills, teamwork, and multidisciplinary care. Role competence comprised the attainment of fundamental skills while nursing students expected to receive support from the healthcare organizations and the university.Conclusions: Role transition encompasses role preparation, role competence, support, and organization for the nursing students. Future studies should investigate the contributing factors to the feedback process between the nursing interns or final year students and the RNs or CNMs in the clinical practice during role transition.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".