Nursing Students’ Perceptions of Their Verbal and Social Interaction Skills in Sweden and China During Their First Semester
Bibliographic record
Abstract
Aim: This study aimed to investigate the similarities and differences related to verbal and social interaction skills between nursing students attending universities in Sweden and China, two countries with different educational systems, during the students’ first semester. Background: Nurses need a high level of interaction skills in order to interact effectively with patients and their families. Thus, practical nursing education focusing on clinical skills is essential. Method: Students at one university in Sweden and two universities in China completed the Verbal and Social Interactions for Nursing Students (VSI-NS) questionnaire. Results: The students perceived building a caring relationship and caring towards health and well-being as the most frequently occurring and important types of caring interactions. The students perceived that talking with a patient about their feelings and thoughts was the least frequently occurring and least important type of caring interaction. Conclusion: The students appear to understand from the initial phase of their education that the caring relationship and the patients’ health and well-being will be the major focus of their role as nurses.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".