Motivations Behind Donor Funding Refusal: Towards a Typology of Principled Refusal
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
NGOs are perceived as organisations that are always seeking funding. However, there are many instances where donations are refused by NGOs. This counter-intuitive decision, given the often grave humanitarian needs, is not well documented beyond brief references or individual cases. Refusal is an expression of values and principles, important for actors that are often portrayed as having little to no agency or power in relation to donors. We developed a database of 32 examples of funding refusals by NGOs detailing the reasons for refusal. To classify and compare the refusals, we developed a preliminary typology of NGO motivations for donor refusal, which contains four types (independence, impartiality, neutrality, and humanity) that align with humanitarian principles. Each category and type are defined and examples of each are provided. Given the focal nature of NGOs in development activity, the lack of attention to funding refusal is notable. We address this lacuna by creating a database and developing a preliminary typology to provide a foundation for future research. This study contributes a novel typology to an under-studied topic. In so doing, this paper provides a foundation for studies of refusal to follow.
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 | 0.004 | 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 | 0.000 |
| 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