Diversity in pediatric dermatology: A report from the Pediatric Dermatology Research Alliance and a call to action
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
BACKGROUND/OBJECTIVES: The Pediatric Dermatology Research Alliance (PeDRA) connects pediatric dermatologists, trainees, basic scientists, allied health professionals, and patient advocates to improve the lives of children with skin disease through research. As a training pipeline for future pediatric dermatologists and steward of research in the field, PeDRA has a responsibility to examine its history and take actionable steps to diversify its membership, grant recipients, study leads, research priorities, and leadership. METHODS: In 2020, PeDRA formed an Equity, Diversity, and Inclusion Task Force to address this need. In an effort to assess PeDRA's past and plan for PeDRA's future, a review of PeDRA's membership, leadership, grant awardees, and research topics was conducted. RESULTS/CONCLUSIONS: Results demonstrated gaps in PeDRA's current operational efforts to diversify the pediatric dermatology workforce and identified areas for improvement. Recommendations are proposed as a call to action for the community.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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