Educational effect of a nursing training conference adopting the world café method: Medical care teams
Bibliographic record
Abstract
Aim: The study aimed to clarify students’ learning about medical care teams through clinical practicum based on the World Café method, to find suggestions useful for developing new methods of education.Methods: The “roles of nursing in improving medical care teams” reported by students were qualitatively and descriptively analyzed.Results: Six core categories were identified concerning the roles of nursing in medical care teams, including [Staying close to patients to support them], [Providing information and using obtained information for care as much as possible], [Hub station for interpersonal relationships], [Realizing patient-centered medicine], [Key approaches to promote medical care teams ] and [Lubricant for medical care teams].Conclusions: Education using the World Café method helps students integrate their practice effectively based on theories and experiences, remember during training what has been already learned and pay attention to medical care teams. Furthermore, supportive guidance, such as providing feedback, was useful for them to develop more flexible and deeper thoughts.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".