The smartphone aesthetics of mobility in Kate Evans’s Threads and Reinhard Kleist’s An Olympic Dream
Bibliographic record
Abstract
In the last decade, comics and graphic novels on migration have become an essential forum for representing refugee experience. This emergent genre of graphic narration not only offers the representation of migrant hardships from the subjective perspective of refugees, artists and volunteers working in the community, comics on the refugee crisis also develop empathy and awareness for the plight of migrants internationally by giving a voice to countless nameless – and often faceless – migrants, whose images circulate widely in the media. Moreover, comic artists working on refugee and migrant subjects are inventing new visual languages to express these individuals’ perilous journeys from war-torn regions of the Middle East, Africa and Asia to European soil, incorporating the very media technologies essential for migration – and its representation – into the comics form. Looking at the smartphone and social media aesthetics of two comics on global forced migration, Kate Evans’s Threads: From the Refugee Crisis and Reinhard Kleist’s An Olympic Dream: The Story of Samia Yusuf Omar, this article assesses the significance of incorporating the technologies of migration into its representation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.013 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".