Individual Donor Support for Nonprofits: The Roles of Financial and Emotional Information
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
ABSTRACT The ability to attract donor funding is important to many nonprofit organizations' success in achieving their goals. Prior literature indicates that the emotional response of potential donors to the mission of these organizations as well as the assessment of the financial information provided impacts donation decisions. However, prior literature has examined either the effect of the emotional response or financial information, but not both. Using an experiment, our paper fills this gap in the literature by investigating both factors in the same study. Furthermore, we investigate the potential moderating effect of emotional intelligence. The results indicate that, under some circumstances, the emotional response of the potential donor and the donor's emotional intelligence impact both the decision to donate and the size of the donation. However, the financial information, as compiled by the Better Business Bureau, a business rating agency that also rates charities, impacts only the size of the donation.
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 | 0.005 | 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 | 0.001 |
| 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 it