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
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".