Gender differences in grant and personnel award funding rates at the Canadian Institutes of Health Research based on research content area: A retrospective analysis
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: Although women at all career stages are more likely to leave academia than men, early-career women are a particularly high-risk group. Research supports that women are less likely than men to receive research funding; however, whether funding success rates vary based on research content is unknown. We addressed gender differences in funding success rates for applications directed to one or more of 13 institutes, representing research communities, over a 15-year period. METHODS AND FINDINGS: We retrospectively reviewed 55,700 grant and 4,087 personnel award applications submitted to the Canadian Institutes of Health Research. We analyzed application success rates according to gender and the primary institute selected by applicants, pooled gender differences in success rates using random effects models, and fitted Poisson regression models to assess the effects of gender, time, and institute. We noted variable success rates among grant applications directed to selected institutes and declining success rates over time. Women submitted 31.1% and 44.7% of grant and personnel award applications, respectively. In the pooled estimate, women had significantly lower grant success (risk ratio [RR] 0.89, 95% confidence interval [CI] 0.84-0.94; p < 0.001; absolute difference 3.2%) compared with men, with substantial heterogeneity (I2 = 58%). Compared with men, women who directed grants to the Institutes of Cancer Research (RR 0.86, 95% CI 0.78-0.96), Circulatory and Respiratory Health (RR 0.74, 95% CI 0.66-0.84), Health Services and Policy Research (RR 0.78, 95% CI 0.68-0.90), and Musculoskeletal Health and Arthritis (RR 0.80, 95% CI 0.69-0.93) were significantly less likely to be funded, and those who directed grants to the Institute of Aboriginal People's Health (RR 1.67, 95% CI 1.0-2.7) were more likely to be funded. Overall, women also had significantly lower personnel award success (RR 0.75, 95% CI 0.65-0.86; p < 0.001; absolute difference 6.6%). Regression modelling identified that the effect of gender on grant success rates differed by institute and not time. Study limitations include use of institutes as a surrogate identifier, variability in designation of primary institute, and lack of access to metrics reflecting applicants, coapplicants, peer reviewers, and the peer-review process. CONCLUSIONS: Gender disparity existed overall in grant and personnel award success rates, especially for grants directed to selected research communities. Funding agencies should monitor for gender differences in grant success rates overall and by research content.
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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 | 0.020 | 0.046 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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