Understanding solicitation: Beyond the binary variable of being asked or not being asked
Bibliographic record
Abstract
The identity, motivation, and experiences of philanthropists have become increasingly popular topics of study in a wide range of disciplines, yet no equivalent attention has been paid to the askers, despite research showing that almost all donations are solicited in some way. The propensity to be asked for contributions has been found to be positively related to the propensity to give, but despite the usefulness of this finding, it reinforces the suggestion that solicitation is a binary variable, such that people are either asked or they are not asked. This paper, drawing on data from in‐depth interviews with 73 successful fundraisers in the UK and Canada, highlights the importance of the quality, as opposed to simply the quantity, of solicitation. Three important factors that lie behind successful “asks” are identified and discussed: First, they are made within relationships of trust rather than as a result of a transactional approach. Second, they occur as a result of fundraisers' ability to be an “honest broker” between donors and the organisations they might support. And third, they rely on the fundraisers' skills in reframing complex issues and finding alignment between the recipient organisation's needs and the philanthropic aspirations of the donor. The paper concludes with implications for practice.
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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 | 0.005 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".