Creation of a Scholars Program in Dental Leadership (SPDL) for Dental and Dental Hygiene Students
Bibliographic record
Abstract
There is a great need for leaders in the dental profession. As technological advances make our world smaller and our lives faster and more complex, we as a profession face challenges and opportunities that are evolving. Many of the changes in the scope and mode of practice will require new and different approaches. Meeting these challenges will require changes in how we as dental professionals do business; interact with our patients, other stakeholders, and health care providers; and educate our future colleagues. The purposeful incorporation of leadership education into dental and dental hygiene curricula represents an important departure from existing paradigms-but will help prepare our students to address these challenges. This article provides an overview of the development of a Scholars Program in Dental Leadership (SPDL) at the University of Michigan School of Dentistry. Our aim for the program is to create a learning environment that fosters leadership development, so that students are prepared and motivated to assume leadership positions in the profession and their communities.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".