Charitable Giving for Overseas Development: UK Trends over a Quarter Century
Why this work is in the frame
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Bibliographic record
Abstract
Summary Charitable giving is an important source of funding for overseas development and emergency relief. Donations in the UK are about a quarter of the size of government development aid. There has been strong growth over time, reflecting the activities of development charities and the public response to humanitarian emergencies. The paper examines how this charitable giving has changed since 1978, using a newly constructed panel data set on donations to individual UK charities. When did the increase take place? Did the public respond to events such as Live Aid or has there been a steady upward trend? What has been the relationship with changes in household income? Which charities have grown fastest? Have new charities displaced old? How do changes in giving for overseas compare with changes in giving for other causes?
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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