Keeping up with the Joneses: The relationship of perceived descriptive social norms, social information, and charitable giving
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 We study the influence of perceived descriptive social norms on subsequent giving behavior to nonprofits, explore how social information can influence these norms, and provide insight for fundraising practice. A survey conducted in a nonprofit organization first shows that donors use their beliefs about the descriptive social norm to inform their own donation behavior. Donors who believe that others make high contributions tend to make high contributions themselves. Next, a laboratory experiment demonstrates the influence of social information on the descriptive social norm and consequently on giving. These results suggest strategies for fundraising practice. Informing donors of contributions made by another person influences their perceptions about the descriptive social norm, which in turn influences their giving behavior. We conclude with a discussion of theoretical and practical implications.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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