From Funding Equity Initiatives to Research Productivity: Quantifying the Impact of NSF ADVANCE Awards on Recipients’ Publication Trajectories
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
Service work in academia, including organizational change efforts, often competes with time for research, potentially affecting academic careers (tenure, promotion, and pay) through slowed publication productivity. However, little is known about how involvement in such efforts affects publication strategies or whether external funding mitigates the potentially negative impacts on research activity. The authors examine changes in publication trajectories among academics participating in the National Science Foundation ADVANCE program, an externally funded gender equity initiative. Using bibliometric data and a matched sample, the authors find that scholars involved in ADVANCE awards published significantly more articles within the first four years after receiving funding. This increase cannot be fully attributed to shifts in research focus, such as publications on gender, or changes in collaboration patterns. Instead, ADVANCE resources created a spillover effect, boosting publications in gender equity while also enhancing productivity in scholars’ primary research areas. These findings suggest that external and institutional resource allocation can offset the additional burdens associated with organizational change work, enabling academics to maintain active research careers while contributing to sustainable change initiatives. This highlights the critical role of robust resource provision in supporting faculty members engaged in organizational change.
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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 | 0.133 | 0.404 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.028 | 0.149 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.000 | 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