Student-led leadership training for undergraduate healthcare students
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
Purpose Effective clinical leadership is crucial to avoid failings in the delivery of safe health care, particularly during a period of increasing scrutiny and cost-constraints for the National Health Service (NHS). However, there is a paucity of leadership training for health-care students, the future leaders of the NHS, which is due in part to overfilled curricula. The purpose of this study was to assess the impact of student-led leadership training for the benefit of fellow students. Design/methodology/approach To address this training gap, a group of multiprofessional students organised a series of large-group seminars and small-group workshops given by notable health-care leaders at a London university over the course of two consecutive years. Findings The majority of students had not previously received any formal exposure to leadership training. Feedback post-events were almost universally positive, though students expressed a preference for experiential teaching of leadership. Working with university faculty, an inaugural essay prize was founded and student members were given the opportunity to complete internships in real-life quality improvement projects. Originality/value Student-led teaching interventions in leadership can help to fill an unmet teaching need and help to better equip the next generation of health-care workers for future roles as leaders within the NHS.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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