Celebrity humanitarianism and international development an analysis of Oprah, Bono, and Angelina Jolie in Africa
Bibliographic record
Abstract
Sub-Saharan Africa has become a popular destination for Hollywood celebritites to embark on humanitarian missions, in attempt to combat the problems of poverty, AIDS, and underdevelopment in Africa. However, celebrity humanitarians take for granted that development giving is an altruistic enterprise that can only bring about positive results for the communities and peoples involved. Using three celebrity case studies, I will show how humanitarian giving can result in unforeseen consequences, even when the gift of development is given with altruistic intentions. The celebrities analyzed in this thesis including Oprah Winfrey, Paul (Bono) Hewson, and Angelina Jolie, each adopt Western consumerist strategies that are incompatible with the diverse values and worldviews found in Africa. In addition, development giving provides an unsustainable solution for a collective global future, and is not exempt from forms of inequality, dependency, domination, and exploitation that privilege the Western subject through dehumanizing others.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 source (direct Gemma or distilled Codex), 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".