Pictures of migration: The invisible shock of misery photographs
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 Social and digital media have enabled an unprecedented number and variety of photographs of refugees and forced migrants to circulate globally in recent years. Among them are shocking, even horrific images. The shock I present for consideration is associated with the technology of photography more so than the picture’s content. In this article, I claim that the invisible shock of misery photographs of refugees is related to the insidious and unresolved ongoing history of mass population movements and their visual representations. I contend there is an imperative to considering this invisible shock as it leads to foregrounding the miseries of refugeedom and to the patterns of its manufacture. Indeed, any photograph of refugee or migrant misery refers to the truth of discrimination, disparity and the willingness on the part of some humans to treat other humans as inferior. I conclude that this approach presents an opportunity to reconsider uses of photography for social change.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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