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Record W4210360477 · doi:10.1386/cjmc_00048_1

The smartphone aesthetics of mobility in Kate Evans’s Threads and Reinhard Kleist’s An Olympic Dream

2021· article· en· W4210360477 on OpenAlexaff
Elizabeth Nijdam

Bibliographic record

VenueCrossings Journal of Migration and Culture · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicComics and Graphic Narratives
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsComicsDreamRefugeeNarrativeRepresentation (politics)Perspective (graphical)UtopiaMedia studiesHistorySociologyVisual artsAestheticsArtLiteratureArt historyPolitical sciencePsychologyLaw

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.017
GPT teacher head0.249
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2021
Admission routes1
Has abstractyes

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