The perspective of doctoral nursing students engaged in mentored international research
Bibliographic record
Abstract
Five doctoral nursing students and their faculty traveled to St. Kitts and Nevis for a study abroad experience to apply research skills outside of a classroom setting as part of a disaster preparedness elective course. Nursing students reflected on their perspectives of conducting a mixed-methods research study in another country. Each student reported positive benefits from the experience, particularly emphasizing the importance of face-to-face mentorship in doing actual research as a part of doctoral studies to supplement research methods learned in online courses. Students also acknowledged challenges and learning opportunities within their experience. International mentored research projects can assist graduate nursing students through the transition from student to independent researcher. The authors believe these types of intensive research experiences should be encouraged and supported within nursing education.
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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 | 0.013 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.025 | 0.014 |
| Scholarly communication | 0.020 | 0.007 |
| Open science | 0.003 | 0.016 |
| Research integrity | 0.008 | 0.022 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".