Donor Advised Funds & Delay: An Intergenerational Justice Solution?
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 Much writing on Donor Advised Funds (DAFs) relates to whether they ‘unduly’ delay the direct application of donated funds to achieve public benefit. However, the discussion rarely touches on a normative basis for determining what is ‘undue’ or that can be used to shape potential reforms, which are typically framed with reference to a private foundation payout rate or time limit for expending contributions. Research on charity accumulation conducted across the United States, United Kingdom, Canada, Australia and New Zealand, suggests that the normative principle of intergenerational justice is helpful for grounding such discussions (Murray, I. 2021. Charity Law and Accumulation: Maintaining an Intergenerational Balance . Cambridge: Cambridge University Press). This article considers intergenerational justice in the context of DAFs and considers whether the principle can be implemented in ways that support DAF sponsor independence and flexibility. One way that this could be achieved is by imposing (or enforcing existing) procedural obligations on decision-makers to give genuine consideration to intergenerational justice when making decisions about how much to spend and retain.
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 | 0.001 | 0.000 |
| 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 | 0.002 |
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