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
This paper presents research analyzing the role of computational technology in the domain of nonprofit fundraising. Nonprofits are a cornerstone of many societies and are especially prominent in the United States, where $295 billion, or slightly more than 2% of the U.S. Gross Domestic Product (i.e. total national revenue), was directed toward charitable causes in 2006. Nonprofits afford many worthwhile endeavors, including crisis relief, basic services to those in need, public education and the arts, and preservation of the natural environment. In this paper, we identify six roles that computational technology plays in support of nonprofit fundraising and present two models characterizing technology use in this domain: (1) a cycle of technology-assisted fundraising and (2) a model of relationships among stakeholders in technology-assisted fundraising. Finally, we identify challenges and research opportunities for collaborative computing in the unique and exciting nonprofit fundraising domain.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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