National Institutes of Health diversity supplements: Perspectives from administrative insiders
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: The NIH Diversity Administrative Supplement is a funding mechanism that provides support for diverse early-stage researchers. There is limited guidance on how to apply for these awards. PURPOSE: We describe perspectives of NIH program/diversity officers and university research administrators offering recommendations for diversity supplement submission. METHODS: This article is the product of a working group exploring diversity in research. Nursing faculty from an R2 Historically Black College and University and an R1 research intensive university conducted stakeholder interviews with NIH program/diversity officers and university research administrators. We used content analysis to categorize respondents' recommendations. FINDINGS: Recommendations centered on harmonizing the applicant with the program announcement, communication with program/diversity officers, mentor/mentee relationship, scientific plan, and systematic institutional approaches to the diversity supplement. DISCUSSION: Successful strategies in submitting diversity supplements will facilitate inclusion of diverse researchers in NIH-sponsored programs. Systematic approaches are needed to support development of diverse voices to enhance the scientific 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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