Philanthropy and HBCUs: Foundation funding to historically Black colleges and universities
Bibliographic record
Abstract
About CandidEvery year, millions of nonprofits spend trillions of dollars around the world.Candid finds out where that money comes from, where it goes, and why it matters.Through research, collaboration, and training, Candid connects people who want to change the world to the resources they need to do it.Candid's data tools on nonprofits, foundations, and grants are the most comprehensive in the world.In February 2019, Foundation Center and GuideStar joined forces to become Candid, a 501(c)(3) nonprofit organization.For more information, visit candid.orgor tweet us @CandidDotOrg. About ABFE: A Philanthropic Partnership for Black CommunitiesABFE is a membership-based philanthropic organization that advocates for responsive and transformative investments in Black communities.Partnering with foundations, corporations, nonprofits, and individuals, ABFE provides its members with professional development and technical assistance resources that further the philanthropic sector's connection and responsiveness to issues of equity, diversity, and inclusion.Established in 1971 as the Association of Black Foundation Executives, the organization was credited with many of philanthropy's early gains in diversity.It has since evolved into an influential network.For more information, visit abfe.org.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.114 | 0.013 |
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".