Assembling a global health image: Ethical and pragmatic tensions through the lenses of photographers
Bibliographic record
Abstract
BACKGROUND: Recently, global health has been confronting its visual culture, historically modulated by colonialism, racism and abusive representation. There have been international calls to promote ethicality of visual practices. However, despite this focus on the history and the institutional use of global health images, little is known about how in practice contemporary images are created in communities, and how consent to be in photographs is obtained. METHODS: We conducted semi-structured interviews with 29 global health photographers about the ethical and practical challenges they experience in creating global health images, and thematically analysed the findings. FINDINGS: The following themes were identified: (1) global health photography is undergoing a marketing transformation and images are being increasingly moderated; (2) photographers routinely negotiate stereotypical and abusive tropes purposefully sought by organisations; (3) local scenes are modified, enhanced and staged to achieve a desired marketing effect; (4) 'empowerment' is becoming an increasingly prominent dehumanising visual trope; (5) consent to be photographed can be jeopardised by power imbalances, illiteracy, fears and trust; (6) organisations sometimes problematically recycle images. INTERPRETATION/DISCUSSION: This research has identified practical and ethical issues experienced by global health photographers, suggesting that the production cycle of global health images can be easily abused. The detected themes raise questions of responsibility and accountability, and require further transdisciplinary discussion, especially if promoting ethical photojournalism is the goal for 21st century global health.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".